Market-1501 dataset
This dataset is collected and annotated in Tsinghua. It has 6 cameras, 1,501 IDs and a distractor set of 500k images. Only one train/test split is used. We also annotate the ID-level attributes for Market-1501.
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attributes
state of the art on Market-1501
state of the art on Market-1501+500k

DukeMTMC-ReID dataset
This dataset is a subset of the DukeMTMC tracking dataset. It has 8 cameras, 1,404 IDs and one train/test split. The evalution protocol is similar to Market-1501. Benchmarking results of some recent methods have been collected. We also annotate the ID-level attributes for DukeMTMC-ReID.
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attributes

CUHK03 dataset with new evaluation protocol
We have used a new evaluation protocol for the CUHK03 dataset. This protocol only has one train/test split instead of the previous 20 train/test splits. The training and testing sets have 767 and 700 IDs, respectively.
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MARS dataset
This dataset is a video extension of Market-1501. It has 6 cameras and 1,261 IDs. Only one train/test split is used.
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state of the art on MARS

PRW dataset
This dataset is another extension of Market-1501. It provides 11,816 video frames. We draw a bounding box for all the pedestrians. We assign an ID (1-932) to most of them, and -2 to those whose IDs we do not know for sure. For this dataset, one should create a gallery by pedestrian detection and then evaluate person re-identification. Re-ID performance is closely related to detection performance.
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