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Market-1501

Benchmark for person re-identification

Market-1501

Market-1501 is a large-scale public benchmark dataset for person re-identification. It contains 1501 identities which are captured by six different cameras, and 32,668 pedestrian image bounding-boxes obtained using the Deformable Part Models pedestrian detector. Each person has 3.6 images on average at each viewpoint. The dataset is split into two parts: 750 identities are utilized for training and the remaining 751 identities are used for testing. In the official testing protocol 3,368 query images are selected as probe set to find the correct match across 19,732 reference gallery images.

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Task
Image Classification
Annotation Types
Bounding Boxes
32668
Items
750
Classes
32668
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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