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This dataset is data-processed by https://github.com/sihyun-yu/REPA using the dataset Rapidata/Animals-10

Rapidata Animals-10

We took this existing Animals-10 dataset from kaggle and cleaned it using Rapidata's crowd, as detailed in this blog post.

If you get value from this dataset and would like to see more in the future, please consider liking it.

Dataset Details

10 classes: Butterfly, Cat, Chicken, Cow, Dog, Elephant, Horse, Sheep Spider, Squirrel 23554 Images

In total, 124k labels were collected by human annotators, so each image is cross-validated on average by 5 independent annotators.

  • Curated by: @canwiper
  • Funded by: Rapidata
  • License: gpl-2.0

Dataset Sources

Blog post describing the setup and results of cleaning the original dataset.

Dataset Structure

Structured by folders named after each of the 10 different animals.

Source Data

https://www.kaggle.com/datasets/alessiocorrado99/animals10

Dataset Contact

marian@rapidata.ai

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