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--- |
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library_name: PyLaia |
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license: mit |
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tags: |
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- PyLaia |
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- PyTorch |
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- atr |
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- htr |
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- ocr |
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- historical |
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- handwritten |
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metrics: |
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- CER |
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- WER |
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language: |
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- 'fr' |
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datasets: |
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- Teklia/Belfort |
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pipeline_tag: image-to-text |
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--- |
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# PyLaia - Belfort |
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This model performs Handwritten Text Recognition in French on historical documents. |
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## Model description |
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The model was trained using the PyLaia library on the [Belfort](https://zenodo.org/records/8041668) dataset. |
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Training images were resized with a fixed height of {dimension} pixels, keeping the original aspect ratio. Vertical lines are discarded. |
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| set | lines | |
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| :----- | ------: | |
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| train | 25,800 | |
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| val | 3,102 | |
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| test | 3,819 | |
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An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the Belfort training set. |
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## Evaluation results |
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The model achieves the following results: |
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| set | Language model | CER (%) | WER (%) | lines | |
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|:------|:---------------| ----------:| -------:|----------:| |
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| test | no | 10.54 | 28.12 | 3,819 | |
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| test | yes | 9.52 | 23.73 | 3,819 | |
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## How to use? |
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Please refer to the [PyLaia documentation](https://atr.pages.teklia.com/pylaia/usage/prediction/) to use this model. |
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## Cite us! |
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```bibtex |
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@inproceedings{pylaia2024, |
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author = {Tarride, Solène and Schneider, Yoann and Generali-Lince, Marie and Boillet, Mélodie and Abadie, Bastien and Kermorvant, Christopher}, |
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title = {{Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library}}, |
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booktitle = {Document Analysis and Recognition - ICDAR 2024}, |
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year = {2024}, |
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publisher = {Springer Nature Switzerland}, |
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address = {Cham}, |
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pages = {387--404}, |
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isbn = {978-3-031-70549-6} |
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} |
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``` |
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```bibtex |
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@inproceedings{belfort-2023, |
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author = {Tarride, Solène and Faine, Tristan and Boillet, Mélodie and Mouchère, Harold and Kermorvant, Christopher}, |
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title = {Handwritten Text Recognition from Crowdsourced Annotations}, |
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year = {2023}, |
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isbn = {9798400708411}, |
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publisher = {Association for Computing Machinery}, |
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address = {New York, NY, USA}, |
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url = {https://doi.org/10.1145/3604951.3605517}, |
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doi = {10.1145/3604951.3605517}, |
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booktitle = {Proceedings of the 7th International Workshop on Historical Document Imaging and Processing}, |
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pages = {1–6}, |
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numpages = {6}, |
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keywords = {Crowdsourcing, Handwritten Text Recognition, Historical Documents, Neural Networks, Text Aggregation}, |
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series = {HIP '23} |
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} |
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``` |
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