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%******************************************************************************************************************% |
% The Market-1501 dataset is collected with six cameras, open environment, in Tsinghua University. % |
% A total of 1501 individuals are annotated. 751 individuals are used for training. There are 750 individuals for % |
% testing, and in total 3368 query images. % |
% There are 19732 images in the test set, and 12936 images in the training set. % |
% If you use this dataset, please kindly cite our paper as, % |
% % |
% Liang Zheng*, Shengjin Wang, Liyue Shen*, Lu Tian*, Jiahao Bu, and Qi Tian. Person Re-identification Meets Image % |
% Search. Technical Report, 2015. (*equal contribution) % |
% % |
% This dataset should be used for research only. Please DO NOT distribute or use it for commercial purpose. % |
%******************************************************************************************************************% |
%%%%%% Content in the Zip file%%%%%%%%%% |
1. "bounding_box_test" file. This file contains 19732 images for testing. |
2. "bounding_box_train" file. This file contains 12936 images for training. |
3. "query" file. It contains 3368 query images. Search is performed in the "bounding_box_test" file. |
4. "gt_bbox" file. It contains 25259 images, all hand-drawn. The images correspond to all the 1501 individuals in the test and training set.It is used to distinguish "good" "junk" and "distractors". |
5. "gt_query" file. For each of the 3368 queries, there are both good and junk relevant images (containing the same individual). This file contains the image index of the good and junk images. It is used during performance evaluation. |
If you have any problem, please contact me at liangzheng06@gmail.com. |
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