PETA (Pedestrian Attribute)
Introduced by Yubin Deng et al. in Pedestrian Attribute Recognition At Far Distance
The PEdesTrian Attribute dataset (PETA) is a dataset fore recognizing pedestrian attributes, such as gender and clothing style, at a far distance. It is of interest in video surveillance scenarios where face and body close-shots and hardly available. It consists of 19,000 pedestrian images with 65 attributes (61 binary and 4 multi-class). Those images contain 8705 persons.
Source: Attribute Aware Pooling for Pedestrian Attribute RecognitionBenchmarks
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Papers
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