Real-Time Object Tracking with YOLOv8

Project Overview

I developed a real-time object tracking system using YOLOv8 and OpenCV to detect and track objects from a webcam stream. The system dynamically displays object names, counts, and unique tracking IDs across frames. This solo project significantly improved my understanding of computer vision and object tracking using PyTorch-based detection models.

📚 Tools & Libraries Used

• OpenCV: Real-time video processing from webcam.
• Ultralytics YOLOv8: Object detection and tracking model.
• PyTorch: Backend deep learning framework.
• collections, random, time: Utility Python libraries for data handling and logic.