Published June 18, 2018
| Version v1
Dataset
Open
Dataset for paper: Jersey Number Recognition with Semi-Supervised Spatial Transformer Network
Creators
Description
SJN-210k is a dataset that contains nearly 210,000 jersey number images for soccer games. It is used to train and evaluate vision models to recognize player jersey numbers.
Pos with axis | pos without axis | neg | |
training set | 8952 | 6004 | 130890 |
testing set | 3794 | 2660 | 55795 |
Please cite the following paper if you use this dataset:
Gen Li, Shikun Xu, Xiang Liu, Lei Li and Changhu Wang, "Jersey Number Recognition with Semi-Supervised Spatial Transformer Network," 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Salt Lake City, UT, USA, 2018, pp. 1864-18647, doi: 10.1109/CVPRW.2018.00231.
@INPROCEEDINGS{li2018jersey, author={Li, Gen and Xu, Shikun and Liu, Xiang and Li, Lei and Wang, Changhu}, booktitle={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)}, title={Jersey Number Recognition with Semi-Supervised Spatial Transformer Network}, year={2018}, pages={1864-18647}, doi={10.1109/CVPRW.2018.00231}
}
Files
SJN-210k.zip
Files
(442.9 MB)
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Additional details
References
- sjn-210k