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Koushim/yolov8-license-plate-detection

sourceHugging Facemitupdated 1y agoView on Hugging Face
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๐Ÿš— 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.


๐Ÿง  Model Details

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

๐Ÿ”ง How to Use

Install dependencies first:

bash
pip install ultralytics

Example usage:

python
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()