Object Detection & Tracking with YOLOv8 and DeepSORT | Step by Step Tutorial
In this tutorial, you will learn how to perform real-time object detection and tracking using YOLOv8 and DeepSORT. We will use the Ultralytics implementation of YOLOv8 in PyTorch for detecting objects, while DeepSORT will handle tracking each detected object across video frames.
This approach is widely used in computer vision applications such as video analytics, traffic monitoring, people tracking, and more.
GitHub Repository: https://github.com/codewithaarohi/Tracking-and-counting-Using-YOLOv8-and-DeepSORT
Topics Covered:
Setting up YOLOv8 for object detection
Integrating DeepSORT for object tracking
Counting and tracking multiple objects in real-time
Using Python and PyTorch for implementation
For any queries, comment below or email me at [email protected]
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