Track & Count Objects Using YOLOv8, ByteTrack & Supervision

Track & Count Objects Using YOLOv8, ByteTrack & Supervision

Learn to build an application for tracking and counting objects using Computer Vision in this comprehensive tutorial. Explore the implementation of YOLOv8 for detection, ByteTrack for tracking, and Roboflow's Supervision library for object counting. Set up a Python environment for vehicle tracking, create custom inference pipelines for images and videos, and train a YOLOv8 Object Detection model on a custom dataset. Apply these techniques to real-world scenarios, such as detecting, tracking, and counting candies on a conveyor belt. Gain hands-on experience with cutting-edge computer vision tools and techniques to enhance your object tracking and counting skills.