RacketVision is a large-scale, multi-sport dataset and benchmark for advancing computer vision in sports analytics, covering badminton, table tennis, and tennis. It is the first dataset to provide large-scale, fine-grained annotations for racket pose alongside traditional ball positions, enabling research into complex human-object interactions. The benchmark tackles three interconnected tasks: fine-grained ball tracking, articulated racket pose… See the full description on the dataset page:
https://huggingface.co/datasets/yanbing2/RacketVision.
