2 datasets found
  1. a

    Animal10N Training Set

    • datasets.activeloop.ai
    Updated Mar 26, 2022
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    Song, Hwanjun and Kim,Minseok and Lee, Jae-Gil. (2022). Animal10N Training Set [Dataset]. https://datasets.activeloop.ai/docs/ml/datasets/animal-animal10n-dataset/
    Explore at:
    Dataset updated
    Mar 26, 2022
    Authors
    Song, Hwanjun and Kim,Minseok and Lee, Jae-Gil.
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Animal10N Training Set consists of 40,000 images of animals from 10 different classes. The images are labeled with the animal's class.

  2. a

    Animal10N Test Set

    • datasets.activeloop.ai
    Updated Mar 26, 2022
    Share
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    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
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    Song, Hwanjun and Kim,Minseok and Lee, Jae-Gil. (2022). Animal10N Test Set [Dataset]. https://datasets.activeloop.ai/docs/ml/datasets/animal-animal10n-dataset/
    Explore at:
    Dataset updated
    Mar 26, 2022
    Authors
    Song, Hwanjun and Kim,Minseok and Lee, Jae-Gil.
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The Animal10N Test Set consists of 10,000 images of animals from 10 different classes. The images are labeled with the animal's class.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Song, Hwanjun and Kim,Minseok and Lee, Jae-Gil. (2022). Animal10N Training Set [Dataset]. https://datasets.activeloop.ai/docs/ml/datasets/animal-animal10n-dataset/

Animal10N Training Set

Explore at:
Dataset updated
Mar 26, 2022
Authors
Song, Hwanjun and Kim,Minseok and Lee, Jae-Gil.
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

The Animal10N Training Set consists of 40,000 images of animals from 10 different classes. The images are labeled with the animal's class.

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