Fine-Grained Person Re-identification

Jiahang Yin, Ancong Wu, and Wei-Shi Zheng

Sun Yat-sen University, China     


To study the Fine-grained Person Re-id (FG re-id) problem, we have collected a new FGPR dataset. We collected videos of people wearing uniform clothes. According to the clothes that the people wear, they are divided into three fine-grained groups, namely, “blue”, “white” and “green” groups. As shown in the following Figure, people wear the same clothes in each fine-grained group. The identities in the blue group were captured by camera 1 and camera 2, the white group were captured in camera 2 and camera 3, and the persons in the green group only appeared in camera 4 and 5. The blue group and white group have one common camera view, and the green group has its unique two camera views. Hence, the number of camera views of FGPR dataset is 5. In total, our FGPR dataset includes 134,696 RGB images of 358 identities from 716 sequences.


  • The images and the corresponding annotation results can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed.
  • Copyright © Intelligence Science and System Lab (iSEE), Sun Yat-sen University. All rights reserved.
  • Download

    Please download the dataset using the links below: BaiDu Cloud Disk with the extraction code: xtip

    Please download this paper in: "Fine-grained Person Re-identification"


    Please cite the following paper if you use the data in your research::

    [1], Jiahang Yin, Ancong Wu, and Wei-Shi Zheng. "Fine-grainedperson re-identification" .International Journal of ComputerVision, Jan 2020 (DOI 10.1007/s11263-019-01259-0).