The DukeMTMC-reID (Duke Multi-Tracking Multi-Camera ReIDentification) dataset is a subset of the DukeMTMC for image-based person re-ID. The dataset is created from high-resolution videos from 8 different cameras. It is one of the largest pedestrian image datasets wherein images are cropped by hand-drawn bounding boxes. The dataset consists 16,522 training images of 702 identities, 2,228 query images of the other 702 identities and 17,661 gallery images.
NOTE: This dataset has been retracted.
Source: Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification
Variants: DukeMTMC-reID, DukeMTMCreID, Market-1501->DukeMTMC-reID, MSMT17->DukeMTMC-reID
This dataset is used in 1 benchmark:
Recent papers with results on this dataset: