π YOLOv8 License Plate Detection Model
This repository contains a YOLOv8 object detection model trained to detect license plates in real-world images. The model was trained using the Ultralytics YOLOv8 framework and can be deployed for real-time applications such as surveillance, traffic monitoring, and vehicle identification.
π§ Model Details
- Architecture: YOLOv8n (Nano variant)
- Framework: Ultralytics YOLOv8
- Task: Object Detection
- Classes: 1 (
license_plate
) - Input resolution: 640Γ640
- File:
best.pt
π§ How to Use
Install dependencies first:
pip install ultralytics
Example usage:
from ultralytics import YOLO
# Load model from HF
model = YOLO("koushik-ai/yolov8-license-plate-detection/best.pt")
# Run inference
results = model("your_image.jpg")
# Show results
results[0].show()
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