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README.md
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---
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license: gpl-2.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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dataset_info:
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features:
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- name: image
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dtype: image
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- name: label
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dtype:
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class_label:
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names:
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'0': Butterfly
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'1': Cat
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'2': Chicken
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'3': Cow
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'4': Dog
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'5': Elephant
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'6': Horse
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'7': Sheep
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'8': Spider
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'9': Squirrel
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splits:
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- name: train
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num_bytes: 300304734.49
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num_examples: 23554
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download_size: 318523927
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dataset_size: 300304734.49
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---
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---
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license: gpl-2.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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dataset_info:
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features:
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- name: image
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dtype: image
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- name: label
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dtype:
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class_label:
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names:
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'0': Butterfly
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'1': Cat
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'2': Chicken
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'3': Cow
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'4': Dog
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'5': Elephant
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'6': Horse
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'7': Sheep
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'8': Spider
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'9': Squirrel
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splits:
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- name: train
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num_bytes: 300304734.49
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num_examples: 23554
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download_size: 318523927
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dataset_size: 300304734.49
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---
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# Rapidata Animals-10
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We took this existing Animals-10 dataset from [kaggle](https://www.kaggle.com/datasets/alessiocorrado99/animals10) and cleaned it using Rapidata's crowd, as detailed in this [blog post](https://rapidata.ai/blog/animal-classification).
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## Dataset Details
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10 classes: Butterfly, Cat, Chicken, Cow, Dog, Elephant, Horse, Sheep Spider, Squirrel
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23554 Images
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In total, 124k labels were collected by human annotators, so each image is cross-validated on average by 5 independent annotators.
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- **Curated by:** [canwiper]
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- **Funded by:** [Rapidata]
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- **License:** [gpl-2.0]
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### Dataset Sources
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<!-- Provide the basic links for the dataset. -->
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- **Blog Post:** [blog post](https://rapidata.ai/blog/animal-classification)
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## Dataset Structure
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Structured by folders named after each of the 10 different animals.
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### Source Data
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https://www.kaggle.com/datasets/alessiocorrado99/animals10
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## Dataset Contact
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