Dataset Viewer
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[
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{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 5 - 3 axle truck, bus/bus 3/hq7203.jpg",
"text": null,
"type": "image"
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{
"image": null,
"text": "{\"CoT\": \"The image shows a large vehicle designed for transporting many passengers. It has two levels of seating (double-decker) and multiple windows and doors along the side. Text overlays identify it as a 'Bus' operating on a specific route ('Route 12') in London and mention it is 'Tri-Axle'. This confirms it is a public transport bus used in an urban setting. The visible wheels on the near side are one at the front axle, one at the middle axle, and two at the rear axle (dual wheels). The presence of three axles is confirmed by the text and the wheel arrangement.\", \"Category\": \"Bus\", \"Subcategory\": \"City_Bus\", \"Number_of_wheels_visible\": 4, \"Number_of_axles_inferred_from_number_of_wheels\": 3, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": true}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
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{
"image": "Images/Class 4 - 2 axles, 5 or 6 wheels bus or truck/truck 2/Image_013568_jpg.rf.d737be4e77c29e6af8751d08f61660a0.jpg",
"text": null,
"type": "image"
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"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a commercial vehicle with a distinct cab at the front and a large, enclosed box body behind it, designed for transporting goods. I can see one wheel on the front axle on the visible side and part of the wheel on the other front side. On the visible side under the cargo box, I can see two sets of dual wheels, indicating two rear axles. This configuration of one front axle and two rear axles suggests a 3-axle vehicle. The vehicle type is consistent with a truck used for medium-duty cargo transport.\", \"Category\": \"Medium_Truck\", \"Subcategory\": \"3-Axle_Medium\", \"Number_of_wheels_visible\": 6, \"Number_of_axles_inferred_from_number_of_wheels\": 3, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/misc/490b5cb7-4df1-4baf-828b-9144abb3122b.jpg",
"text": null,
"type": "image"
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"role": "user"
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{
"image": null,
"text": "{\"CoT\": \"The image shows a large vehicle designed for transporting multiple passengers. It has a long body with numerous windows along the side and a large entry door near the front. The overall shape and size are consistent with a bus. Observing the specific design cues, such as the prominent front door, the arrangement of windows, and the lights above the windshield, indicate it is designed for transporting children. There is text visible on the side that appears to be a manufacturer's name, 'BLUE BIRD', which is a known bus manufacturer. I can see one wheel on the front axle and one wheel on the rear axle. Standard buses of this type typically have one axle at the front and one axle at the rear, often with dual wheels on the rear, making it a 2-axle vehicle. There are no markings or features suggesting it is a taxi or an emergency vehicle. The design strongly matches that of a school bus. The license plate is not visible in the image.\", \"Category\": \"Bus\", \"Subcategory\": \"School_Bus\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": true, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 5 - 3 axle truck, bus/truck 3/300_jpg.rf.04ddd7affbd8146b5cc5ecfb713c4d4e.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large vehicle with a truck cab and a specialized body mounted on the chassis. The body is a large, open-top container with reinforced sides, designed to carry bulk materials. The vehicle has one axle at the front and two axles at the rear, making it a 3-axle configuration. This type of vehicle, with a heavy-duty chassis and a body designed for hauling and potentially unloading bulk materials like waste or construction debris, fits the description of a truck used in construction or industrial applications. Specifically, the body type is consistent with a dump body or a container used for hauling waste/materials. Among the provided categories, 'Construction_and_Industrial' with the subcategory 'Dump_Truck' is the most appropriate classification for a vehicle with this structure and function. I can see one wheel on the front axle and two wheels on the rear axles on the visible side, totaling 3 visible wheels. The vehicle does not show any markings or features indicating it is a taxi, school bus, or emergency vehicle. A license plate is not visible or readable.\", \"Category\": \"Construction_and_Industrial\", \"Subcategory\": \"Dump_Truck\", \"Number_of_wheels_visible\": 3, \"Number_of_axles_inferred_from_number_of_wheels\": 3, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 5 - 3 axle truck, bus/truck 3/266_jpg.rf.6976f33d079e54bc96ca04320e62fafc.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large vehicle with a distinct cab at the front and a large, open-top, box-like cargo body at the rear. This cargo body appears designed to carry bulk materials and is likely capable of tilting for unloading. This configuration is characteristic of a truck used in construction or similar industries for transporting and dumping materials. Looking at the allowed categories, 'Construction_and_Industrial' includes 'Dump_Truck', which precisely matches the visual characteristics of the vehicle. The vehicle has one axle at the front and two axles at the rear, which is a common configuration for this type of truck. I can see one wheel on the front left side and four wheels on the rear left side (dual wheels on two axles). There are no markings indicating it is a taxi, school bus, or emergency vehicle. A license plate is not clearly visible or readable.\", \"Category\": \"Construction_and_Industrial\", \"Subcategory\": \"Dump_Truck\", \"Number_of_wheels_visible\": 5, \"Number_of_axles_inferred_from_number_of_wheels\": 3, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 7 - 5 or more axles/truck 5/images63.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large vehicle composed of a tractor unit pulling a long trailer. The tractor unit has a cab and multiple axles. The trailer is a long box structure with wheels underneath, identified as a shipping container by the 'MAERSK' logo and the presence of a refrigeration unit. This type of vehicle is a heavy-duty truck pulling a semi-trailer. I need to classify this combination based on the provided categories. The tractor unit appears to have 3 axles (one front, two rear). The trailer has multiple axles. Counting the visible axles on the trailer, there are two sets of tandem axles, making it 4 axles on the trailer. The total number of axles for the combination is 3 (tractor) + 4 (trailer) = 7 axles. Looking at the allowed categories, 'Heavy_Truck' is defined as having '>5 axles', with the subcategory '5+_Axle_Heavy'. This fits the observed 7 axles. I will count the visible wheels. The tractor has 2 visible wheels at the front and 4 visible wheels at the rear (dual wheels). The trailer has 8 visible wheels (dual wheels on 4 axles). Total visible wheels are 2 + 4 + 8 = 14. I will check for specific attributes like taxi, school bus, emergency vehicle, and license plate visibility. There are no markings indicating it is a taxi, school bus, or emergency vehicle. A license plate is not clearly visible or readable.\", \"Category\": \"Heavy_Truck\", \"Subcategory\": \"5+_Axle_Heavy\", \"Number_of_wheels_visible\": 14, \"Number_of_axles_inferred_from_number_of_wheels\": 7, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 7 - 5 or more axles/truck 5/image15.jpeg",
"text": null,
"type": "image"
}
],
"role": "user"
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{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large commercial vehicle designed to pull a trailer, commonly known as a tractor unit. It has a prominent cab, a large engine compartment, and multiple axles at the rear. I can see one axle at the front and three axles closely spaced at the rear of the tractor unit. This configuration indicates a heavy-duty truck tractor. I will count the visible wheels. There are 2 wheels visible at the front (one on each side). At the rear, there are three axles, and each axle appears to have dual wheels on each side, meaning 2 wheels per side per axle, totaling 4 wheels per axle. With 3 rear axles, that's 3 * 4 = 12 wheels in total on the rear axles. However, only the wheels on the visible side are counted. On the visible side, there is 1 wheel at the front and 2 wheels (dual setup) on each of the 3 rear axles. So, visible wheels are 1 (front) + 2 (rear axle 1) + 2 (rear axle 2) + 2 (rear axle 3) = 7 on the visible side. Plus the 1 front wheel on the other side and the 6 rear wheels (dual setup on 3 axles) on the other side, which are also visible. Let's recount carefully: 2 front wheels (one on each side), and 3 rear axles each with dual wheels (4 wheels per axle). Total wheels on the tractor are 2 + (3 * 4) = 14. Visible wheels in the image: 1 front wheel on the left, 1 front wheel on the right. On the left side rear: 2 wheels on the first axle, 2 wheels on the second axle, 2 wheels on the third axle. Total visible wheels: 2 (front) + 6 (rear left side) = 8. The vehicle is clearly a truck tractor with 4 axles (1 front, 3 rear). Based on the provided categories, a vehicle with 4 axles fits the description of a 'Large_Truck'. It is not a Lorry (2-3 axles), Small_Truck (2 axles), Medium_Truck (3 axles), or Heavy_Truck (>5 axles). The subcategory for Large_Truck is '4-Axle_Large', which matches the observed axle count.\", \"Category\": \"Large_Truck\", \"Subcategory\": \"4-Axle_Large\", \"Number_of_wheels_visible\": 8, \"Number_of_axles_inferred_from_number_of_wheels\": 4, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 1 - Motorcycles/1682252179639_jpg.rf.8aedaef6b7baa7207545790d5f411d81.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a two-wheeled vehicle with a rider. The vehicle has handlebars, a seat, an engine area, and an exhaust pipe. The rider is straddling the vehicle, indicating a frame that is not a step-through design. This configuration is characteristic of a motorcycle rather than a scooter. Two wheels are clearly visible, one at the front and one at the rear. There are no visible markings indicating it is a taxi, school bus, or emergency vehicle. No license plate is visible.\", \"Category\": \"Motorcycle\", \"Subcategory\": \"Motorbike\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/misc/2cf025c3-1611-4bf8-9bda-c4f56422e3b6.png",
"text": null,
"type": "image"
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],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The vehicle is a large, enclosed vehicle with a van-like front section and a boxy rear compartment. It has a raised roof with multiple light bars and flashing lights. Text markings on the side and front indicate it is used for medical response. It has side windows and a side door. Based on its structure and features, it is a type of van equipped for emergency services. I can see two wheels on the visible side. The vehicle configuration suggests it has two axles. It has clear emergency vehicle markings and equipment. A license plate is visible on the front.\", \"Category\": \"Vans\", \"Subcategory\": \"Passenger_Van\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": true, \"License_plate_visible\": true}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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"image": "Images/Class 4 - 2 axles, 5 or 6 wheels bus or truck/bus 2/50_jpg.rf.8ef05480e29910d2d0b479fef40a4aab.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large vehicle designed for passenger transport. It has a long body with multiple large windows along the side and a destination display above the windshield. There is a door visible towards the front. The vehicle is on a road in what appears to be an urban or town setting. These features are characteristic of a bus used for public transportation. Specifically, the design with multiple windows and likely multiple doors (though only one is clearly visible) and the urban context point towards a bus designed for city routes rather than long-distance travel or school transport. I can see two wheels on the visible side of the vehicle, one near the front and one near the rear. Based on the size and type of vehicle, it is expected to have two axles. There are no markings indicating it is a taxi, school bus, or emergency vehicle. A license plate is visible on the front bumper.\", \"Category\": \"Bus\", \"Subcategory\": \"City_Bus\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": true}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
},
{
"image": "Images/Class 5 - 3 axle truck, bus/bus 3/Mo_9521.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large passenger vehicle with multiple windows and doors along the side. It is operating on a road and has branding indicating it is a public transport service ('hillsbus', 'CITY EXPRESS'). It has a long body and appears to have more than two axles. This fits the general description of a bus. Comparing it to the subcategories, it has multiple doors suitable for frequent stops in an urban setting, aligning with 'City_Bus'. It is not a long-distance coach or a dedicated school bus. I can see three wheels on the visible side, corresponding to three axles. A license plate is visible on the front.\", \"Category\": \"Bus\", \"Subcategory\": \"City_Bus\", \"Number_of_wheels_visible\": 3, \"Number_of_axles_inferred_from_number_of_wheels\": 3, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": true}",
"type": "text"
}
],
"role": "assistant"
}
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
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{
"image": "Images/Class 2 - Car, SUV, Station Wagons/002953_jpg.rf.c7c3dc7024decb89c16cdd5d8cbaff73.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a four-wheeled passenger vehicle. It has four doors and a rear liftgate (implied by the SUV/Crossover body style). The chassis appears taller than a standard car, suggesting higher ground clearance. The body style is a blend of a car and an off-road vehicle, with a relatively sleek roofline for its height. This combination of features points towards the SUV category. Within the SUV category, the vehicle's size appears to be medium, and its unibody construction and car-like handling focus (typical of this model) classify it as a Crossover. The front grille is a distinctive split design, and the headlights are complex units. Two wheels are visible on the left side of the vehicle. A license plate is visible on the front bumper with readable text.\", \"Category\": \"SUV\", \"Subcategory\": \"Crossover\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": true}",
"type": "text"
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[
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"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
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{
"image": "Images/Class 6 - 4 axles/truck 4/image49.jpeg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large commercial vehicle. It has a heavy-duty chassis and a large open-top body designed to carry and unload loose material by lifting the front of the body. This specific type of vehicle is used for transporting materials like sand, gravel, or demolition waste, which is characteristic of a dump truck. It has multiple axles to support heavy loads. I can see one axle at the front and two sets of tandem axles at the rear. The body shape and function clearly identify it as a dump truck. I will count the visible wheels on the ground. I see 2 wheels on the front axle, 4 wheels on the first rear tandem axle, and 4 wheels on the second rear tandem axle, totaling 10 wheels on the ground. Based on the wheel configuration (1 front axle, 2 rear tandem axles), the vehicle has 5 axles. There are no markings or features indicating it is a taxi, school bus, or emergency vehicle. I cannot read the license plate.\", \"Category\": \"Construction_and_Industrial\", \"Subcategory\": \"Dump_Truck\", \"Number_of_wheels_visible\": 10, \"Number_of_axles_inferred_from_number_of_wheels\": 5, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/misc/5ad02908-312d-4e2b-b114-5c8bd04b5d15.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large vehicle with a cab at the front and a specialized body behind it. The body has compartments, ladders mounted on top, and various fittings like hoses and nozzles. There are visible markings such as 'ENGINE 63', 'F.D. MACK N.Y.', and a shield with 'FIRE DEPARTMENT CITY OF NEW YORK'. The vehicle is equipped with emergency lights and what appears to be a siren or air horn. It has a large chassis with multiple wheels. On the visible side, I can see one wheel at the front and two wheels (duals) at the rear. This configuration is typical of a 2-axle rigid truck. The overall design and equipment clearly identify it as a vehicle used for emergency response, specifically firefighting. Based on the allowed categories, it fits the description of a rigid truck, and given the visible axles, the 'Lorry' category with the '2-Axle' subcategory is the most appropriate fit from the provided list, despite its specialized function. The license plate is visible at the rear.\", \"Category\": \"Lorry\", \"Subcategory\": \"2-Axle\", \"Number_of_wheels_visible\": 3, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": true, \"License_plate_visible\": true}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 3 - 2 axle lorry, van, pickup/pickup/005539_jpg.rf.b9c10b983aeeedee89772d27ba81e2ef.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a vehicle with a separate cabin and an open cargo area at the rear. This configuration is characteristic of a truck designed for carrying goods in an open bed. Looking at the allowed categories, 'Pickup_Truck' is the most appropriate fit. Within the Pickup_Truck category, I need to determine the subcategory based on the cab type. The vehicle appears to have a single door on the visible side and a relatively short cab, indicating a single row of seating. This matches the description of a 'Regular_Cab'. I can see two wheels clearly on the visible side: one front wheel and one rear wheel. Standard pickup trucks have two axles, one at the front and one at the rear. Based on the visible wheels, I can infer that the vehicle has two axles. There are no visible markings or equipment that identify it as a taxi, school bus, or emergency vehicle. A license plate is not visible in the image.\", \"Category\": \"Pickup_Truck\", \"Subcategory\": \"Regular_Cab\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
},
{
"image": "Images/Class 5 - 3 axle truck, bus/truck 3/185_jpg.rf.42016fc67b883cb6c1236c017bb748dd.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large truck with a cab at the front and a large, open-top body at the rear. The rear body appears designed to hold loose material and is likely capable of tilting for unloading. This configuration is characteristic of a vehicle used for transporting and dumping bulk materials in construction or industrial settings. I can see one wheel on the front axle and four wheels on the rear axles on the visible side, suggesting multiple axles at the rear. Based on its function and design, it fits the description of a dump truck. I will classify it under the 'Construction_and_Industrial' category and 'Dump_Truck' subcategory. I count 5 visible wheels. Based on the visible wheels (single front, dual rear sets), I infer 3 axles (1 front, 2 rear). There are no taxi, school bus, or emergency vehicle markings. A license plate is present but not readable.\", \"Category\": \"Construction_and_Industrial\", \"Subcategory\": \"Dump_Truck\", \"Number_of_wheels_visible\": 5, \"Number_of_axles_inferred_from_number_of_wheels\": 3, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
},
{
"image": "Images/Class 5 - 3 axle truck, bus/truck 3/217_jpg.rf.074762f14f9f21f8ba1bb05527e7f87b.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large commercial vehicle with a distinct body type. It has a cab at the front and a large, open-top box at the rear with reinforced sides, designed for carrying and dumping bulk materials. This specific body style is characteristic of a dump truck. The vehicle appears to have multiple axles to handle heavy loads. I can see one wheel on the front axle, one wheel on the first rear axle, and two wheels (dual setup) on the second rear axle from this perspective, plus a spare wheel mounted on the side. This configuration suggests a 3-axle truck chassis. Based on its function and design, it fits the 'Construction_and_Industrial' category, specifically the 'Dump_Truck' subcategory. I count a total of 5 visible wheels (1 front, 1 on the first rear axle, 2 on the second rear axle, and 1 spare). The vehicle does not display any markings indicating it is a taxi, school bus, or emergency vehicle. No license plate is visible in the image.\", \"Category\": \"Construction_and_Industrial\", \"Subcategory\": \"Dump_Truck\", \"Number_of_wheels_visible\": 5, \"Number_of_axles_inferred_from_number_of_wheels\": 3, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
}
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/misc/1dc0f555-28e6-455f-82b0-a38ada9176ae.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a vehicle from the side. It has a large, boxy body with a distinct front end including a grille and headlights. There are multiple windows visible along the side of the main body. The vehicle is sitting on four wheels, two of which are visible on the near side. There is a sliding door track visible on the side. The overall shape and window configuration are characteristic of a van designed to carry people or with significant window area. The vehicle has custom paintwork and accessories like side pipes and custom wheels. The presence of multiple side windows distinguishes it from a cargo van.\", \"Category\": \"Vans\", \"Subcategory\": \"Passenger_Van\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
}
],
"role": "assistant"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
},
{
"image": "Images/Class 5 - 3 axle truck, bus/truck 3/284_jpg.rf.0ba4de956a4ed612df41ce11c248cb05.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large vehicle with a distinct cab at the front and a large cylindrical tank body mounted on the chassis behind the cab. This is a rigid vehicle, not a truck pulling a trailer. I can observe one axle at the front and three axles at the rear supporting the tank body. Counting the visible wheels on the near side, there is one wheel on the front axle and two wheels (dual wheels) on each of the three rear axles, totaling 1 + 2 + 2 + 2 = 7 visible wheels on this side. This configuration indicates a 4-axle truck chassis. Based on the provided categories, the vehicle fits the description of a large truck with 4 axles. The 'Large_Truck' category with the '4-Axle_Large' subcategory is the most appropriate classification based on the vehicle's structure and axle count from the given list. There are no visible markings indicating it is a taxi, school bus, or emergency vehicle. No license plate is clearly readable.\", \"Category\": \"Large_Truck\", \"Subcategory\": \"4-Axle_Large\", \"Number_of_wheels_visible\": 7, \"Number_of_axles_inferred_from_number_of_wheels\": 4, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
},
{
"image": "Images/Class 7 - 5 or more axles/truck 5/IMG_0405_jpeg.rf.7186d948fe84ae876f72a14e77e2ea5c.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large articulated vehicle composed of a tractor unit and a long, enclosed trailer. The tractor unit has a cab at the front and appears to have two axles. The trailer is a large box structure supported by multiple axles at the rear. This type of vehicle is used for transporting heavy goods. Based on the visual characteristics and the provided categories, it fits the description of a heavy-duty truck combination. The tractor unit has 2 axles and the trailer has 3 axles, making a total of 5 axles.\", \"Category\": \"Heavy_Truck\", \"Subcategory\": \"5+_Axle_Heavy\", \"Number_of_wheels_visible\": 12, \"Number_of_axles_inferred_from_number_of_wheels\": 5, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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],
"role": "assistant"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
},
{
"image": "Images/Class 5 - 3 axle truck, bus/truck 3/246_jpg.rf.05e4fe65cabc70facbe2524af346e825.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large vehicle with a cab at the front and a rigid cargo body at the rear. The cargo body has solid lower sides and a slatted upper structure. I can observe multiple axles under the vehicle. Specifically, there is one axle at the front and a group of three axles at the rear. This configuration indicates a multi-axle truck designed for carrying substantial loads. Based on the number of axles (four in total), it fits the description of a Large Truck. The visible wheels confirm the presence of multiple axles, with dual wheels on the rear axles.\", \"Category\": \"Large_Truck\", \"Subcategory\": \"4-Axle_Large\", \"Number_of_wheels_visible\": 5, \"Number_of_axles_inferred_from_number_of_wheels\": 4, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
}
],
"role": "assistant"
}
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
},
{
"image": "Images/Class 3 - 2 axle lorry, van, pickup/van/009711_jpg.rf.fca6abdbf0e77fb8baa86b27acf55f01.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large, enclosed vehicle with a boxy shape. It has a distinct front end with a grille and headlights. The side of the vehicle features a large sliding door and multiple windows along the passenger compartment. The rear door is also partially visible. This configuration, including the side windows and doors, is characteristic of a van designed for transporting people. Based on the provided categories, this vehicle fits the 'Vans' category. Within the 'Vans' category, the presence of multiple side windows distinguishes it as a 'Passenger_Van' rather than a 'Cargo_Van'. I can see two wheels clearly on the visible side. This type of vehicle typically has two axles. There are no markings or features indicating it is a taxi, school bus, or emergency vehicle. A license plate is not visible or readable.\", \"Category\": \"Vans\", \"Subcategory\": \"Passenger_Van\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
}
],
"role": "assistant"
}
] | |
[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
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"image": "Images/Class 5 - 3 axle truck, bus/truck 3/168_jpg.rf.b1d0eda068bad3e6bab9666338064e5a.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large, heavy-duty vehicle with a cab at the front and a large, open-top body at the rear. The rear body appears designed to carry and unload bulk materials, consistent with a dump body. The vehicle is situated on rough terrain, suggesting a construction or industrial environment. I can see one wheel on the front axle and two sets of wheels on the side towards the rear, indicating multiple rear axles. This type of vehicle, designed for transporting and dumping materials in construction or similar settings, is specifically known as a dump truck. I will count the visible wheels and infer the number of axles based on the typical configuration of such a vehicle. I will also check for specific attributes like taxi, school bus, emergency vehicle, and license plate visibility.\", \"Category\": \"Construction_and_Industrial\", \"Subcategory\": \"Dump_Truck\", \"Number_of_wheels_visible\": 3, \"Number_of_axles_inferred_from_number_of_wheels\": 3, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
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{
"image": "Images/misc/5428afad-e45b-4482-87db-a601165e1994.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a vehicle from the side, angled towards the front. The vehicle has a large, boxy body with a relatively short hood. There are multiple windows along the side, including a large window behind the front door and two smaller windows further back. There is a side step visible below the body. The overall shape and window configuration are characteristic of a passenger-carrying van. I can see two wheels on the visible side. Based on the standard configuration of such vehicles, it has two axles. There are no visible markings indicating it is a taxi, school bus, or emergency vehicle. No license plate is clearly visible or readable.\", \"Category\": \"Vans\", \"Subcategory\": \"Passenger_Van\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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"image": "Images/Class 4 - 2 axles, 5 or 6 wheels bus or truck/truck 2/Image_013406_jpg.rf.54e41cc1e39f2f57d1bfdd377dc36727.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a rigid truck chassis with a specialized body on the rear. The body appears to be a container or skip handling system, commonly used for transporting waste or construction materials. This type of vehicle is a specialized truck. Reviewing the allowed categories, 'Lorry' refers to general 2-axle trucks, while 'Construction_and_Industrial' includes specialized machinery like 'Dump_Truck'. Given the specialized nature of the body for handling bulk materials/waste, classifying it under 'Construction_and_Industrial' seems more appropriate than a generic 'Lorry'. Among the subcategories for 'Construction_and_Industrial', 'Dump_Truck' is the closest functional description, as this vehicle transports and unloads bulk materials, albeit with a different mechanism than a traditional tipping dump truck. The vehicle has two visible axles. I can see one wheel on the front right side and one wheel on the rear right side. Therefore, 2 wheels are visible. Based on the visible axles, there are 2 axles. There are no taxi markings, school bus design, or typical emergency vehicle lights/markings. A license plate is visible on the front.\", \"Category\": \"Construction_and_Industrial\", \"Subcategory\": \"Dump_Truck\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": true}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 6 - 4 axles/truck 4/sddefault.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large vehicle with a cab designed for a driver and a long chassis frame at the rear, equipped with a fifth wheel coupling, indicating it is a tractor unit intended to pull a trailer. It has a single steering axle at the front and multiple axles at the rear. Specifically, there are four axles visible in the rear section, arranged as two sets of tandem axles. This configuration (1 front + 4 rear) results in a total of 5 axles for the tractor unit. Vehicles of this size and axle configuration are used for hauling very heavy loads, fitting the description of a heavy truck. I can see one wheel on the front axle and one wheel on each of the four rear axles from this side view, totaling 5 visible wheels. The vehicle does not have markings or features of a taxi, school bus, or emergency vehicle. A license plate is not visible or readable.\", \"Category\": \"Heavy_Truck\", \"Subcategory\": \"5+_Axle_Heavy\", \"Number_of_wheels_visible\": 5, \"Number_of_axles_inferred_from_number_of_wheels\": 5, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
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"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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"image": "Images/Class 3 - 2 axle lorry, van, pickup/pickup/009284_jpg.rf.a1e64b7aa9d5f69c1cd186d0d42523f2.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a vehicle with a distinct cab and an open cargo bed at the rear, which is characteristic of a pickup truck. The cab appears to have only two doors and a single row seating area, fitting the description of a regular cab. Four wheels are visible. Standard pickup trucks have two axles. There are no visible markings indicating it is a taxi, school bus, or emergency vehicle. A license plate is visible on the front bumper.\", \"Category\": \"Pickup_Truck\", \"Subcategory\": \"Regular_Cab\", \"Number_of_wheels_visible\": 4, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": true}",
"type": "text"
}
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"role": "assistant"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
},
{
"image": "Images/Class 2 - Car, SUV, Station Wagons/002421_jpg.rf.c4e565d32d1ab44cd793d33ab910b114.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a four-wheeled passenger vehicle. It has four passenger doors and an extended roofline that goes all the way to the rear of the vehicle, ending in what appears to be a liftgate for cargo access. This body style is commonly known as a station wagon or estate car. I need to classify this vehicle using the provided list of categories and subcategories. The main category is clearly 'Car'. Looking at the allowed subcategories for 'Car': Sedan, Hatchback, Coupe, Convertible, Sports. A Sedan has a separate trunk, which this vehicle does not. A Coupe has two doors. A Convertible has a retractable roof. A Sports car is defined by styling, not body shape in this context. A Hatchback is described as having a 'rear door lifts' and being 'compact'. This vehicle has a rear door that lifts and integrates with the cargo area, fitting the first part of the Hatchback description. While it may not be considered 'compact' in all contexts, the lifting rear door and integrated cargo area are key features shared with hatchbacks, and it lacks the defining feature of a sedan (separate trunk). Therefore, based on the provided descriptions, 'Hatchback' is the closest fit among the allowed subcategories for this station wagon body style. I can see two wheels clearly visible on the left side of the vehicle. The front wheel on the right side is partially visible but blurred. The rear wheel on the right side is not visible. I will count the clearly visible wheels, which are 2. A standard passenger car like this has two axles. There are no markings indicating it is a taxi, school bus, or emergency vehicle. The license plate on the front is clearly visible and readable.\", \"Category\": \"Car\", \"Subcategory\": \"Hatchback\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": true}",
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"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
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"image": "Images/Class 4 - 2 axles, 5 or 6 wheels bus or truck/truck 2/2008-mitsubishi-fuso-wrecker-tow-tru-1_jpg.rf.40ea3a807b47bd397794d03d13a7e1c7.jpg",
"text": null,
"type": "image"
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],
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a commercial vehicle. It has a cab at the front and a specialized body at the rear. The body includes a flat deck and a large hydraulic mechanism extending from the back, designed for lifting and towing other vehicles. The chassis has a single axle at the front and a single axle at the rear. This configuration indicates a 2-axle truck. The size appears to be that of a small to medium commercial truck. Based on the categories provided, 'Small_Truck' or 'Lorry' are potential fits for a 2-axle truck. 'Small_Truck' is described as 'small 2-axle commercial', which fits the apparent size and purpose. 'Lorry' is described as '2-axle trucks'. Given the specialized towing equipment, it's a service vehicle built on a truck chassis. The visible wheels are the front left and rear left wheels. The rear axle appears to have single wheels, not duals, from this angle. I can see 2 wheels clearly. The vehicle has 2 axles. There are no markings indicating it's a taxi, school bus, or emergency vehicle. No license plate is visible or readable.\", \"Category\": \"Small_Truck\", \"Subcategory\": \"2-Axle_Small\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
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{
"image": "Images/misc/09f30d64-f2bc-4858-82a8-4c4bdf3bb030.jpg",
"text": null,
"type": "image"
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],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a vehicle from a low-angle side perspective. The vehicle has a distinct front section resembling a van or light truck cab, followed by a large, boxy rear compartment. There are flashing lights visible on the roof and sides. A symbol resembling a medical emblem (Star of Life) is present on the side of the box body. The vehicle appears to have dual wheels on the rear axle visible on the left side, indicating a heavy-duty chassis. The overall structure is consistent with a specialized vehicle built on a van or light truck chassis with a custom rear body. Based on the allowed categories, this configuration with a separate cab and box body, and likely 2 axles (inferred from front wheel and dual rear wheel assembly), fits best under a truck classification, specifically a smaller 2-axle type used for specialized purposes.\", \"Category\": \"Small_Truck\", \"Subcategory\": \"2-Axle_Small\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": true, \"License_plate_visible\": true}",
"type": "text"
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"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 3 - 2 axle lorry, van, pickup/pickup/005661_jpg.rf.fa18f84f095be5c515da9098ea6e9ea4.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The vehicle in the image has a distinct body style with a passenger cabin at the front and an open cargo bed at the rear. This configuration identifies it as a pickup truck. Observing the side profile, the cabin has four doors, indicating a full-size rear seating area. This specific type of pickup truck cabin with four full doors is known as a Crew Cab. I can see two wheels on the visible side of the vehicle. Standard pickup trucks have two axles, one at the front and one at the rear. There are no visible markings or features that suggest it is a taxi, school bus, or emergency vehicle. The area where a license plate would be is visible at the rear, but the characters on the plate are not readable.\", \"Category\": \"Pickup_Truck\", \"Subcategory\": \"Crew_Cab\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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"image": "Images/misc/6a524fdb-f670-47d8-878e-5cbec8bdf1d7.jpg",
"text": null,
"type": "image"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The vehicle is a large, enclosed van-like structure with a tall roof. It has a sliding side door and multiple windows along the side. The interior visible through the open door is fitted out with living amenities, indicating it is designed for passengers or habitation rather than just cargo. This shape and configuration fit the description of a van. Specifically, the presence of side windows classifies it as a Passenger_Van rather than a Cargo_Van. I can see two wheels clearly visible on the right side of the vehicle. Based on the standard configuration of this type of vehicle, it has two axles. There are no markings or features indicating it is a taxi, school bus, or emergency vehicle. A license plate is present on the front, but the characters are not readable.\", \"Category\": \"Vans\", \"Subcategory\": \"Passenger_Van\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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"image": "Images/Class 7 - 5 or more axles/truck 5/IMG_1030_jpeg.rf.2a87fcca3882fe0a5dbcdb854aff5716.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large truck tractor pulling a flatbed trailer. This is a heavy-duty vehicle combination used for transporting goods. The truck tractor has a cab and a sleeper compartment. The trailer is a flat structure with vertical supports, designed for carrying cargo. I need to classify this vehicle combination based on the provided categories. The combination has multiple axles. Counting the axles, the tractor has 3 axles (1 steering, 2 drive) and the trailer has 2 axles. The total number of axles for the combination is 5. Looking at the categories, 'Heavy_Truck' is defined as 'heavy-duty >5 axles' with a subcategory '5+_Axle_Heavy'. While the category description says '>5', the subcategory name '5+ Axle Heavy' suggests vehicles with 5 or more axles. Given this discrepancy, the subcategory name is a better fit for a 5-axle heavy combination. Therefore, classifying this as 'Heavy_Truck' with subcategory '5+_Axle_Heavy' is the most appropriate choice from the list. I will count the visible wheels. On the driver side, I see 1 front wheel, 2 sets of dual wheels on the tractor rear axles (4+4=8 wheels), and 2 sets of dual wheels on the trailer axles (4+4=8 wheels). Total visible wheels: 1 + 8 + 8 = 17. The inferred number of axles from the visible wheels and vehicle type is 3 for the tractor and 2 for the trailer, totaling 5 axles for the combination. There are no taxi markings, school bus features, or emergency vehicle signs. The license plate is not readable.\", \"Category\": \"Heavy_Truck\", \"Subcategory\": \"5+_Axle_Heavy\", \"Number_of_wheels_visible\": 17, \"Number_of_axles_inferred_from_number_of_wheels\": 5, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
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"image": "Images/Class 5 - 3 axle truck, bus/truck 3/1992-Mitsubishi-Great-10-Wheeler-Dum_jpg.rf.a228d3c8089113b0643a65de5b6c0869.jpg",
"text": null,
"type": "image"
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{
"image": null,
"text": "{\"CoT\": \"The image shows a heavy-duty vehicle with a distinct cab at the front and a large, open box body at the rear. The rear body is elevated and appears designed to carry and unload bulk materials, which is characteristic of a dump truck. The vehicle has multiple axles to support heavy loads. I can clearly see one axle at the front and two axles at the rear. The rear axles appear to be dual-wheel axles, although only the outer wheels are fully visible from this angle. The overall structure and function point towards a specialized vehicle used in construction or similar heavy industries. Based on the allowed categories, 'Construction_and_Industrial' with the subcategory 'Dump_Truck' is the most appropriate classification. I can count 5 visible wheels: one on the front left, and two on each of the two rear axles on the left side. Inferring from the visible wheels and the typical configuration of such a vehicle, it has a front axle and two rear axles, totaling 3 axles. There are no markings or features indicating it is a taxi, school bus, or emergency vehicle. A license plate is visible on the front bumper and appears readable.\", \"Category\": \"Construction_and_Industrial\", \"Subcategory\": \"Dump_Truck\", \"Number_of_wheels_visible\": 5, \"Number_of_axles_inferred_from_number_of_wheels\": 3, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": true}",
"type": "text"
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"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
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"image": "Images/Class 4 - 2 axles, 5 or 6 wheels bus or truck/truck 2/1992-Mitsubishi-FUSO-Fighter-private_jpg.rf.dd5f0ed8da328e53e216828716973ef8.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a vehicle with a distinct cab and a large, enclosed cargo box. The vehicle has a prominent grille with 'FUSO' written on it and 'MMC FIGHTER' on the side of the cab, identifying it as a Fuso Fighter truck. This model is known as a medium-duty truck. The vehicle has a front axle and a rear axle visible. The rear axle appears to have dual wheels. This configuration indicates a 2-axle truck. Reviewing the allowed categories, 'Lorry' is defined as a 2-axle truck, with subcategories '2-Axle' and '3-Axle'. Although the 'Lorry' definition and its subcategories seem slightly inconsistent, the vehicle clearly has 2 axles and fits the general description of a Lorry or truck designed for carrying goods. The most appropriate classification from the list is 'Lorry' and the subcategory corresponding to the visible axle count, which is '2-Axle'. I can see one wheel on the front left and the dual wheels on the rear left, totaling 3 visible wheels. Based on the visible axles, I infer there are 2 axles. There are no markings or features indicating it is a taxi, school bus, or emergency vehicle. A license plate is visible on the front bumper, but it is not readable.\", \"Category\": \"Lorry\", \"Subcategory\": \"2-Axle\", \"Number_of_wheels_visible\": 3, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": true}",
"type": "text"
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[
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"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
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{
"image": "Images/Class 2 - Car, SUV, Station Wagons/000490_jpg.rf.3742fd42001335976da623c8c99124aa.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a passenger vehicle on a track. It has a closed roof and appears to have two doors on the visible side. The roofline slopes down towards the rear, ending in a small spoiler. The overall shape is compact and sporty. Based on the body style having two doors and a sloping roofline, it fits the description of a Coupe from the allowed list. It is clearly a standard passenger vehicle, placing it in the 'Car' category. I can see two wheels clearly: the front and rear wheels on the left side. Since wheels are visible at both the front and rear, I can infer that the vehicle has two axles, which is standard for this type of vehicle. There are no markings or features indicating it is a taxi, school bus, or emergency vehicle. No license plate is visible in the image.\", \"Category\": \"Car\", \"Subcategory\": \"Coupe\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
},
{
"image": "Images/Class 1 - Motorcycles/1682252179618_jpg.rf.29086572ecdaa78d40b9440f7b924e3b.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a two-wheeled vehicle with a rider. The vehicle has a platform between the seat and the handlebars for the rider's feet, indicating a step-through frame design. Body panels cover the engine area. These features are characteristic of a scooter. I can clearly see the front wheel and the rear wheel. There are no visible markings indicating it is a taxi, school bus, or emergency vehicle. No license plate is visible.\", \"Category\": \"Motorcycle\", \"Subcategory\": \"Scooter\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 4 - 2 axles, 5 or 6 wheels bus or truck/truck 2/018_jpg.rf.3c44b061d485eb4fdf434b04042ebb3e.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
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"content": [
{
"image": null,
"text": "{\"CoT\": \"1. The image shows a vehicle composed of a truck-like cab and a large, boxy structure mounted on the chassis behind the cab. 2. The front section is clearly a truck cab with two rows of windows, indicating a crew cab configuration. 3. The rear section is a specialized body designed as a living unit, characteristic of a camper or motorhome, with a door and windows. 4. The vehicle is built on a truck chassis, not a car, SUV, van, or bus chassis. 5. I can see one wheel on the front left and one wheel on the rear left. 6. Based on the visible wheels and the typical design of such vehicles, it has one front axle and one rear axle, totaling two axles. 7. Comparing the vehicle type (truck chassis with two axles) to the allowed categories, 'Lorry' with the subcategory '2-Axle' is the most appropriate fit for a 2-axle truck chassis. 8. I checked for taxi markings, school bus design, emergency vehicle features, and a visible license plate; none are present or readable.\", \"Category\": \"Lorry\", \"Subcategory\": \"2-Axle\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
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"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
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{
"image": "Images/Class 3 - 2 axle lorry, van, pickup/van/013895_jpg.rf.46c21fcda3a47d46cae9bee8a9cb3429.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
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{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a large, boxy vehicle with a distinct front grille and headlights. It has a tall roofline and a long wheelbase. The side features a large sliding door which is open, revealing an empty interior floor with no seats visible in the rear section. There are no windows in the rear side panels. This configuration, with a large cargo area and lack of rear side windows, is characteristic of a van designed for carrying goods. Based on the allowed categories, this vehicle fits the 'Vans' category. Within this category, the absence of rear side windows points specifically to a 'Cargo_Van' subcategory. I can see two wheels on the visible side of the vehicle, one at the front and one at the rear. This indicates a standard 2-axle configuration. There are no visible markings or equipment suggesting it is a taxi, school bus, or emergency vehicle. A license plate is not visible in the image.\", \"Category\": \"Vans\", \"Subcategory\": \"Cargo_Van\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
}
],
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[
{
"content": [
{
"image": null,
"text": "Analyze the vehicle in this image and output a structured JSON with fine-grained classification based on the given categories and visual cues. Choose only from the provided list of categories. Use reasoning steps in 'CoT' to explain your decision.\nAllowed Categories, Subcategories & Descriptions:\n\n1. Car – standard passenger vehicles\n • Sedan (separate trunk, 4-door)\n • Hatchbook (rear door lifts, compact)\n • Coupe (2-door, sporty roofline)\n • Convertible (retractable roof)\n • Sports (high-performance styling)\n\n2. SUV – taller chassis, off-road capability\n • Compact_SUV (small footprint)\n • Mid-Size_SUV (5-seat, moderate size)\n • Full_Size_SUV (7-seat, large)\n • Crossover (unibody, car-like)\n\n3. MPV_Small – small multi-purpose vans\n • Compact_MPV (5-7 seats, compact)\n • Minivan (sliding doors, family use)\n\n4. MPV_Big – large multi-purpose vans\n • Large_MPV (7+ seats, tall)\n • 7_Seater_MPV (explicit seven-seat layout)\n\n5. Pickup_Truck – open cargo bed\n • Regular_Cab (2 doors, single row)\n • Extended_Cab (extra small rear seats)\n • Crew_Cab (4 doors, full rear seats)\n\n6. Bus – passenger transport\n • City_Bus (urban, multiple doors)\n • Coach (long-distance, luggage bays)\n • School_Bus (yellow, children transport)\n\n7. Motorcycle – two-wheeled motor vehicles\n • Motorbike (standard bike)\n • Scooter (step-through frame)\n\n8. Vans – enclosed cargo/passenger vans\n • Cargo_Van (no side windows)\n • Passenger_Van (multiple side windows)\n\n9. Lorry – 2-axle trucks\n • 2_Axle (two-axle chassis, light load)\n • 3_Axle (three-axle chassis, heavier)\n\n10. Small_Truck – small 2-axle commercial\n • 2_Axle_Small (light cargo)\n\n11. Medium_Truck – medium 3-axle commercial\n • 3_Axle_Medium (moderate cargo)\n\n12. Large_Truck – large 4-axle commercial\n • 4_Axle_Large (heavy cargo)\n\n13. Heavy_Truck – heavy-duty >5 axles\n • 5_Axle_Heavy (very heavy loads)\n\n14. Construction_and_Industrial – specialized machinery\n • Bulldozer\n • Excavator\n • Crane\n • Forklift\n • Dump_Truck\n • Mixer\n • Roller\n\n15. Tanker – liquid cargo trailers\n • Fuel_Tanker\n • Chemical_Tanker\n • Gas_Tanker\n\n16. Container – intermodal shipping boxes\n • 20ft_Container\n • 40ft_Container\n\n17. Trailer – unpowered cargo carriers\n • Flatbed_Trailer\n • Car_Carrier\n • Lowboy_Trailer\n • Refrigerator_Trailer\n\nOutput JSON keys & descriptors:\n1. CoT: your verbose step-by-step observations of all the details of the vehicle\n2. Category: one of the 17 allowed families\n3. Subcategory: one of the listed types under that Category\n4. Number_of_wheels_visible: count of wheels seen (integer)\n5. Number_of_axles_inferred_from_number_of_wheels:\n6. Is_taxi: true if commercial taxi markings (e.g. rooftop sign)\n7. Is_school_bus: true if yellow bus with children transport design\n8. Is_emergency_vehicle: true if lights/markings for police/ambulance/fire\n9. License_plate_visible: true if plate is readable in image\n",
"type": "text"
},
{
"image": "Images/Class 2 - Car, SUV, Station Wagons/002424_jpg.rf.2282a9b269a07b90d597a1aaec4bed51.jpg",
"text": null,
"type": "image"
}
],
"role": "user"
},
{
"content": [
{
"image": null,
"text": "{\"CoT\": \"The image shows a passenger vehicle from the side, driving on a road. The vehicle has four passenger doors and an extended roofline that goes all the way to the rear bumper. The rear of the vehicle appears to have a large door that lifts upwards, characteristic of a liftgate or tailgate. This body style is commonly known as a station wagon or estate car. Looking at the provided categories and subcategories, 'Station Wagon' is not listed. I need to choose the best fit from the 'Car' category options. A 'Sedan' has a separate trunk, which this vehicle does not. A 'Coupe' has only two doors. A 'Convertible' has a retractable roof. 'Sports' refers to styling, not the primary body shape. A 'Hatchback' is described as having a 'rear door lifts'. This vehicle has a rear door that lifts. Although the description also includes 'compact', and a station wagon is typically longer than a compact hatchback, the lifting rear door is a key shared feature. Therefore, 'Hatchback' is the closest available subcategory that describes the vehicle's body style with a lifting rear door and integrated cargo area. I can see two wheels on the visible side of the vehicle. Based on the standard configuration of this type of vehicle, it has two axles. There are no visible markings or equipment to indicate it is a taxi, school bus, or emergency vehicle. The area where a license plate would be is visible at the rear, but the characters on the plate are not readable.\", \"Category\": \"Car\", \"Subcategory\": \"Hatchback\", \"Number_of_wheels_visible\": 2, \"Number_of_axles_inferred_from_number_of_wheels\": 2, \"Is_taxi\": false, \"Is_school_bus\": false, \"Is_emergency_vehicle\": false, \"License_plate_visible\": false}",
"type": "text"
}
],
"role": "assistant"
}
] |
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