| --- |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| tags: |
| - ball-tracking |
| - table-tennis |
| - sports-video |
| - object-detection |
| - paralympics |
| pretty_name: TTA_Tracking |
| --- |
| |
| # TTA_Tracking |
| |
| ## Dataset Description |
| |
| TTA_Tracking is a ball tracking dataset for table tennis, recorded under realistic conditions at a professional Paralympics level. The dataset is intended to support research in sports video understanding, object detection, and ball tracking under challenging real-world conditions. |
|
|
| ## Dataset Summary |
|
|
| - **Task:** Ball tracking / object detection |
| - **Sport:** Table Tennis (Paralympics) |
| - **Recording conditions:** Realistic professional match conditions |
| - **License:** CC BY-NC 4.0 (Research use only, no redistribution) |
|
|
| ## Usage |
|
|
| This dataset is intended for **research purposes only**. Commercial use and redistribution are strictly prohibited. |
|
|
| ## Citation |
|
|
| If you use this dataset in your research, please cite the following work: |
|
|
| - Paper: [TOTNet: Occlusion-aware temporal tracking for robust ball detection in sports videos](https://huggingface.co/papers/2508.09650) |
| |
| ```bibtex |
| @article{xu2026totnet, |
| title={TOTNet: Occlusion-aware temporal tracking for robust ball detection in sports videos}, |
| author={Xu, Hao and Baniya, Arbind Agrahari and Wells, Sam and Bouadjenek, Mohamed Reda and Dazeley, Richard and Aryal, Sunil}, |
| journal={Computer Vision and Image Understanding}, |
| pages={104657}, |
| year={2026}, |
| publisher={Elsevier} |
| } |
| ``` |
|
|
| ## License |
|
|
| This dataset is licensed under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). Use of this dataset is permitted for non-commercial research purposes only. Redistribution in any form is not permitted without explicit written permission from the authors. |
