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PETA

Pedestrian Attribute

PETA

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.

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The Chinese University of Hong Kong
https://www.cuhk.edu.hk/english/index.html
Task
Annotation Types
19000
Items
4
Classes
19000
Labels
Models using this dataset
Last updated on 
January 20, 2022
Licensed under 
Unknown
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