GPR+: A Large-Scale Synthetic Dataset for Person Re-identification

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GPR+: A Large-Scale Synthetic Dataset for Person Re-identification
Suncheng Xiang^1
1 Shanghai Jiao Tong University

Dataset

Some Mainstream Datasets for Person Re-Identification

For GPR+ (for details of the subset GPR+ please refer to the GPR Homepage) :

dataset	IDs	boxs	cams	weathers	illumination
Market-1501	1,501	32,668	6	-	-
DukeMTMC-reID	1,404	36,411	8	-	-
CUHK03	1,467	14,096	2	-	-
--------------	---------	------	------	----------	--------------
SOMAset	50	100,000	250	-	-
SyRI	100	1,680,000	100	-	140
PersonX	1,266	273,456	36	-	-
GPR	754	443,352	12	7	8
GPR+	808	475,104	12	7	7

Citation

If you use original GPR dataset for your research, please cite our paper.

@inproceedings{xiang2020unsupervised,
  title={Unsupervised Domain Adaptation Through Synthesis For Person Re-Identification},
  author={Xiang, Suncheng and Fu, Yuzhuo and You, Guanjie and Liu, Ting},
  booktitle={ICME},
  pages={1--6},
  year={2020},
  organization={IEEE}
}

If you use upgraded GPR+ dataset for your research, please cite our paper.

@inproceedings{xiang2021taking,
  title={Taking A Closer Look at Synthesis: Fine-Grained Attribute Analysis for Person Re-Identification},
  author={Xiang, Suncheng and Fu, Yuzhuo and You, Guanjie and Liu, Ting},
  booktitle={ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={3765--3769},
  year={2021},
  organization={IEEE}
}

Acknowledgments

We sincerely thank the outstanding annotation team for their excellent work. This work is partially supported by the National Natural Science Foundation of China under Project(Grant No.61977045) and SJTU-SMARCHIT Joint Laboratory of Smart Building.

For further questions and suggestions about our datasets and methods, please feel free to contact Suncheng Xiang: [email protected]