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LUPerson-NL is currently the largest noisy annotated Person Re-identification dataset without humuan labelling efforts, which is used for Pre-training. LUPerson-NL consists of 10M images of over 430K identities extracted from 21K street-view videos and covers a much diverse range of capturing environments.
If you find this code useful for your research, please cite our paper.
@article{fu2020unsupervised,
title={Unsupervised Pre-training for Person Re-identification},
author={Fu, Dengpan and Chen, Dongdong and Bao, Jianmin and Yang, Hao and Yuan, Lu and Zhang, Lei and Li, Houqiang and Chen, Dong},
journal={Proceedings of the IEEE conference on computer vision and pattern recognition},
year={2021}
}
@article{fu2022large,
title={Large-Scale Pre-training for Person Re-identification with Noisy Labels},
author={Fu, Dengpan and Chen, Dongdong and Yang, Hao and Bao, Jianmin and Yuan, Lu and Zhang, Lei and Li, Houqiang and Wen, Fang and Chen, Dong},
journal={arXiv preprint arXiv:2203.16533},
year={2022}
}
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Large-Scale Pre-training for Person Re-identification with Noisy Labels (LUPerson-NL)