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Vehicle Detection and Classification using YOLOv8 πŸš—πŸšŒπŸš™

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.

πŸ” Features

  • 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

πŸ› οΈ Requirements

Install the following Python packages:

pip install ultralytics opencv-python matplotlib

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YOLOv8 based vehicle detection and classification

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