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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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If you get value from this dataset and would like to see more in the future, please consider liking it. |
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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](https://rapidata.ai) |
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- **License:** gpl-2.0 |
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### Dataset Sources |
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[Blog post](https://rapidata.ai/blog/animal-classification) describing the setup and results of cleaning the original dataset. |
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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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[email protected] |
