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