chunked/nltk_chunking/model_doc_dit/chunk_1.txt

DiT applies the self-supervised objective of BEiT (BERT pre-training of Image Transformers) to 42 million document images, allowing for state-of-the-art results on tasks including:

document image classification: the RVL-CDIP dataset (a collection of
  400,000 images belonging to one of 16 classes).