This project demonstrates vehicle detection and classification using the YOLOv8 object detection model. It identifies vehicles such as cars, buses, trucks, motorcycles, and more in real-time or from uploaded images.
- Object detection using YOLOv8 (
yolov8n.pt) - Supports multiple classes (car, bus, person, etc.)
- Crops and displays each detected object individually
- Fully implemented in Google Colab
- Easy to customize for other object classes
Install the following Python packages:
pip install ultralytics opencv-python matplotlib