Datasets > Modality > Images > DukeMTMC-reID
This dataset has been retracted and should not be used

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NOTE: This dataset has been retracted.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

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