The dataset is a large scale benchmark for person search, containing 18,184 images and 8,432 identities.
The dataset can be divided into two parts according to the image sources: street snap and movie: In street snap, images were collected with hand-held cameras across hundreds of scenes and tried to include variations of view-points, lighting, resolutions, occlusions, and background as much as possible.We choose movies and TV dramas as another source for collecting images, because they provide more diversified scenes and more challenging viewpoints.
 

Citation

Tong Xiao*, Shuang Li*, Bochao Wang, Liang Lin, Xiaogang Wang. Joint Detection and Identification Feature Learning for Person Search. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Spotlight, 2017