SportsMOT SportsMOT is a large scale dataset for single camera multi object tracking (MOT) in sports videos. It focuses on tracking players in professional sports scenes, where targets exhibit fast and variable speed motion, frequent occlusion, motion blur, camera motion, and similar team uniforms. This Hugging Face repository provides SportsMOT in a MOTChallenge style structure for research, benchmarking, training, and evaluation of multi object tracking systems in sports analytics. This repository is a convenience mirror/repackaging of SportsMOT. Please cite the original SportsMOT paper and follow the original dataset license and terms. Dataset Details Dataset Description Dataset name: SportsMOT Task: Multi object tracking, player tracking, object detection Domain: Sports video understanding and sports analytics Sports categories: Basketball, football/soccer, and volleyball Data type: Image sequences with MOT style annotations Original project: SportsMOT Dataset Official code / data repository: MCG NJU/SportsMOT Paper: SportsMOT: A Large Multi Object Tracking Dataset in Multiple Sports Scenes SportsMOT was introduced for MOT in sports scenes, where the objective is to track playe…
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