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The model layoutlmv3-base-finetuned-publaynet is fine-tuned on the PubLayNet dataset initialized from microsoft/layoutlmv3-base. This finetuned model achieves an overall mAP @ IOU [0.50:0.95] of 95.1 on the PubLayNet validation set.

Paper | Code | Microsoft Document AI

If you find LayoutLMv3 helpful, please cite the following paper:

  author={Yupan Huang and Tengchao Lv and Lei Cui and Yutong Lu and Furu Wei},
  title={LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking},
  booktitle={Proceedings of the 30th ACM International Conference on Multimedia},


The content of this project itself is licensed under the Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Portions of the source code are based on the transformers project. Microsoft Open Source Code of Conduct

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