Omkar2118/datasets huggingface dataset:
SoccerTrack Dataset

The SoccerTrack dataset comprises top-view and wide-view video footage annotated with bounding boxes. GNSS coordinates of each player are also provided. We hope that the SoccerTrack dataset will help advance the state of the art in multi-object tracking, especially in team sports.

## Dataset Details

<div>
    <a href='https://openaccess.thecvf.com/content/CVPR2022W/CVSports/papers/Scott_SoccerTrack_A_Dataset_and_Tracking_Algorithm_for_Soccer_With_Fish-Eye_CVPRW_2022_paper.pdf'>
      <img src='https://img.shields.io/badge/Paper-PDF-red?style=for-the-badge&logo=adobe-acrobat-reader'/>
    </a>
    <a href='https://github.com/AtomScott/SoccerTrack'>
      <img src='https://img.shields.io/badge/Code-Page-blue?style=for-the-badge&logo=github'/>
    </a>
    <a href='https://soccertrack.readthedocs.io/'>
      <img src='https://img.shields.io/badge/Documentation-Page-blue?style=for-the-badge&logo=read-the-docs'/>
    </a>
  </div>


 **** | **Wide-View Camera** | **Top-View Camera** | **GNSS** 
---|---|---|---
 Device | Z CAM E2-F8 | DJI Mavic 3 | STATSPORTS APEX 10 Hz 
 Resolution | 8K (7,680 × 4,320 pixel) | 4K (3,840 × 2,160 pixesl) | Abs. err. in 20-m run: 0.22 ± 0.20 m  
 FPS | 30 | 30 | 10 
 Player tracking | ✅ | ✅ | ✅ 
 Ball tracking | ✅ | ✅ | - 
 Bounding box | ✅ | ✅ | - 
 Location data | ✅ | ✅ | ✅ 
 Player ID | ✅ | ✅ | ✅

All data in SoccerTrack was obtained from 11-vs-11 soccer games between college-aged athletes. Measurements were conducted after we received the approval of Tsukuba university’s ethics committee, and all participants provided signed informed permission. After recording several soccer matches, the videos were semi-automatically annotated based on the GNSS coordinates of each player.

## Citation
```
@inproceedings{scott2022soccertrack,
  title={SoccerTrack: A Dataset and Tracking Algorithm for Soccer With Fish-Eye and Drone Videos},
  author={Scott, Atom and Uchida, Ikuma and Onishi, Masaki and Kameda, Yoshinari and Fukui, Kazuhiro and Fujii, Keisuke},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={3569--3579},
  year={2022}
}
```

Introducing paper: SoccerTrack: A Dataset and Tracking Algorithm for Soccer With Fish-Eye and Drone Videos