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iLearn-Lab/Finebadminton-20K

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Hugging Face2026-04-02 更新2026-05-10 收录
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资源简介:
--- pretty_name: Finebadminton-20K language: - en annotations_creators: - expert-generated - machine-generated multilinguality: - monolingual license: apache-2.0 configs: - config_name: annotations default: true data_files: - split: train path: "finebadminton-20K/*.json" --- # Finebadminton-20K Finebadminton-20K is a public subset of the FineBadminton dataset for fine-grained badminton video understanding. This release contains: - 70 full-match videos - 2,066 annotated rallies - 20,757 annotated hit instances The released 20K subset corresponds to 20,757 of the 33,325 hit annotations available in the full FineBadminton collection. ## Dataset Structure - `videos/`: the 70 full-length source videos included in this release. - `finebadminton-20K/`: annotation JSON files, one file per source video. - `benchmark_source_videos.txt`: the list of source videos from this release that were used to construct FineBadmintonBenchmark. ## Relation to FineBadmintonBenchmark Part of the previously released FineBadmintonBenchmark was constructed from videos contained in this dataset release. In total, 20 source videos in Finebadminton-20K were used for FineBadmintonBenchmark. The full list is provided in `benchmark_source_videos.txt`. ## Citation ```bibtex @inproceedings{he2025finebadminton, title={Finebadminton: A multi-level dataset for fine-grained badminton video understanding}, author={He, Xusheng and Liu, Wei and Ma, Shanshan and Liu, Qian and Ma, Chenghao and Wu, Jianlong}, booktitle={Proceedings of the 33rd ACM International Conference on Multimedia}, pages={12776--12783}, year={2025} } @misc{he2025finebadminton_arxiv, title={Finebadminton: A multi-level dataset for fine-grained badminton video understanding}, author={He, Xusheng and Liu, Wei and Ma, Shanshan and Liu, Qian and Ma, Chenghao and Wu, Jianlong}, year={2025}, eprint={2508.07554}, archivePrefix={arXiv}, primaryClass={cs.MM}, url={https://arxiv.org/abs/2508.07554} } ```
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