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--- |
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license: other |
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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: is_document |
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dtype: |
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class_label: |
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names: |
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'0': 'no' |
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'1': 'yes' |
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splits: |
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- name: train |
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num_bytes: 3747106867.2 |
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num_examples: 12800 |
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- name: test |
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num_bytes: 468388358.4 |
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num_examples: 1600 |
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- name: validation |
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num_bytes: 468388358.4 |
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num_examples: 1600 |
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download_size: 4682888903 |
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dataset_size: 4683883584.0 |
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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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- split: test |
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path: data/test-* |
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- split: validation |
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path: data/validation-* |
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--- |
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The `DocOrNot` dataset contains 50% of images that are pictures, and 50% that are documents. |
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It was built using 8k images from each one of these sources: |
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- RVL CDIP (Small) - https://www.kaggle.com/datasets/uditamin/rvl-cdip-small - license: https://www.industrydocuments.ucsf.edu/help/copyright/ |
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- Flickr8k - https://www.kaggle.com/datasets/adityajn105/flickr8k - license: https://creativecommons.org/publicdomain/zero/1.0/ |
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It can be used to train a model and classify an image as being a picture or a document. |
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Source code used to generate this dataset : https://github.com/mozilla/docornot |
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