#444 · Primary category： Computer Vision
sports
Cool experiments at the intersection of Computer Vision and Sports ⚽🏃
Project last updated：12/12/23
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Why we included this project
The author built these experiments around the 2022 World Cup, and each one pairs a short write-up with a video walkthrough. The first tracks football players on the field by combining YOLOv5 detection with ByteTrack. The second reproduces a VAR-style offside check using YOLOv7 for multi-camera 3D pose estimation. A third experiment asks whether GPT-4V can assign players to teams based only on uniform color, which is a nice way to see vision-language prompting on real video. Developers and data scientists will find the notebooks a practical starting point for sports footage, though it's a learning resource and source of ideas rather than a drop-in production library.
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