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