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In this object tracking step-by-step tutorial, we show you how to combine power of YOLOv5 and ByteTRACK to track players on football field.
Chapters:
0:00 Introduction
0:36 Object Detection, Tracking and much more
2:15 Download the dataset from Kaggle
4:11 YOLOv5 pre-trained COCO model inference
5:41 Train YOLOv5 model on custom dataset
6:24 YOLOv5 custom model inference
7:48 Installing ByteTRACK
8:47 Custom annotators
10:41 Outro
Resources:
🌏 Roboflow: roboflow.com
🌌 Roboflow Universe: universe.roboflow.com/
📝 "Track Football Players with Computer Vision" blogpost: blog.roboflow.com/track-footb...
📓 "Track Football Players with Computer Vision" notebook: github.com/roboflow-ai/notebo...
🧑💻 YOLOv5 repository: github.com/ultralytics/yolov5
🚀 Find football-players-detection and other grate datasets on Roboflow Universe: universe.roboflow.com/roboflo...
📓 Learn more about YOLOv5 and other Computer Vision models with Roboflow Notebooks: github.com/roboflow-ai/notebooks
Stay up to date with the projects I'm working on at github.com/roboflow-ai and github.com/SkalskiP! ⭐