RacketVision is a large-scale, multi-sport benchmark for advancing computer vision in sports analytics, covering table tennis, tennis, and badminton. It introduces fine-grained annotations for racket pose alongside traditional ball positions.
- [2025-11] Our paper is accepted by AAAI 2026 (Oral)! 🎉
- [Coming Soon] The code and dataset are being organized and will be released shortly. Please star this repo for updates!
- Multi-Sport: Unified analysis for Badminton, Tennis, and Table Tennis.
- New Task: The first large-scale dataset supporting Racket Pose Estimation.
- Benchmark: Baselines for Ball Tracking, Racket Pose Estimation, and Trajectory Prediction.
If you find our work useful for your research, please consider citing:
@inproceedings{dong2026racket,
title={Racket Vision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis},
author={Dong, Linfeng and Yang, Yuchen and Wu, Hao and Wang, Wei and Hou, Yuenan and Zhong, Zhihang and Sun, Xiao},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
year={2026}
}