This project demonstrates a real-time object detection system using the YOLOv8 model and OpenCV. It loads a trained model and processes a video stream (live webcam or video file), detecting objects (e.g. license plates) and saving the annotated output.
- Uses YOLOv8 for high-performance object detection
- Supports real-time processing from webcam or video file
- Filters detections based on confidence threshold
- Displays and saves an annotated video with bounding boxes