2 datasets found
  1. P

    PETA Dataset

    • paperswithcode.com
    Updated Aug 18, 2024
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    Yubin Deng; Ping Luo; Chen Change Loy; Xiaoou Tang (2024). PETA Dataset [Dataset]. https://paperswithcode.com/dataset/peta
    Explore at:
    Dataset updated
    Aug 18, 2024
    Authors
    Yubin Deng; Ping Luo; Chen Change Loy; Xiaoou Tang
    Description

    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.

  2. O

    PETA (Pedestrian Attribute)

    • opendatalab.com
    zip
    Updated Apr 30, 2023
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    Chinese University of Hong Kong (2023). PETA (Pedestrian Attribute) [Dataset]. https://opendatalab.com/OpenDataLab/PETA
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 30, 2023
    Dataset provided by
    Chinese University of Hong Kong
    License

    http://mmlab.ie.cuhk.edu.hk/projects/PETA.htmlhttp://mmlab.ie.cuhk.edu.hk/projects/PETA.html

    Description

    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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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Yubin Deng; Ping Luo; Chen Change Loy; Xiaoou Tang (2024). PETA Dataset [Dataset]. https://paperswithcode.com/dataset/peta

PETA Dataset

Pedestrian Attribute

Explore at:
Dataset updated
Aug 18, 2024
Authors
Yubin Deng; Ping Luo; Chen Change Loy; Xiaoou Tang
Description

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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