Mozilla/docornot
Image Classification
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End of preview. Expand
in Dataset Viewer.
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
- Downloads last month
- 89
Size of downloaded dataset files:
4.68 GB
Size of the auto-converted Parquet files:
4.68 GB
Number of rows:
16,000
Models trained or fine-tuned on Mozilla/docornot