In this tutorial, we will learn how to perform object detection and tracking with YOLOv8 and DeepSORT.

Github: https://github.com/AarohiSingla/Track...

For queries: You can comment in comment section or you can mail me at [email protected]

We will use the Ultralytics implementation of YOLOv8 which is implemented in PyTorch. So the YOLO model will be used for object detection and the DeepSORT algorithm will be used to track those detected objects.

Tracking objects using YOLOv8 and DeepSORT is a popular approach in computer vision for realtime object tracking. YOLOv8 (You Only Look Once version 8) is an object detection model, while DeepSORT (Deep Simple Online and Realtime Tracking) is a tracking algorithm that can be combined with YOLOv8 for tracking objects in videos.

#yolov8 #computervision #objectdetection #objecttracking