πŸš— 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.


🧠 Model Details

  • Architecture: YOLOv8n (Nano variant)
  • Framework: Ultralytics YOLOv8
  • Task: Object Detection
  • Classes: 1 (license_plate)
  • Input resolution: 640Γ—640
  • File: best.pt

πŸ”§ 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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