sports

Why we included this project

Roboflow built this repository as a proving ground for its own object detection, segmentation, and keypoint models, and the code doubles as a practical toolkit for anyone working with sports video. It tackles the genuinely hard parts of the domain: tracking a small fast-moving ball, reading jersey numbers through blur and occlusion, keeping player identities straight across occlusions, and calibrating broadcast camera views so you can compute things like player speed. Each example is tied to a downloadable dataset on Roboflow Universe, and the notebooks show the full pipeline from labeled data to a working detection or keypoint output. The models are designed to be swapped in, so you are not locked into a single detector or pose estimator. The project is also upfront about the problems it has not fully solved, which gives a realistic sense of where the codebase stops and your own work begins.