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PyLaia - Esposalles

This model performs Handwritten Text Recognition in Catalan (19th century).

Model description

The model has been trained using the PyLaia library on the Esposalles dataset.

Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.

set lines
train 2,328
val 742
test 757

An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the Esposalles training set.

Evaluation results

The model achieves the following results:

set Language model CER (%) WER (%) lines
test no 0.76 2.62 757
test yes 1.04 3.38 757

How to use?

Please refer to the PyLaia documentation to use this model.

Cite us!

@inproceedings{pylaia2024,
    author = {Tarride, Solène and Schneider, Yoann and Generali-Lince, Marie and Boillet, Mélodie and Abadie, Bastien and Kermorvant, Christopher},
    title = {{Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library}},
    booktitle = {Document Analysis and Recognition - ICDAR 2024},
    year = {2024},
    publisher = {Springer Nature Switzerland},
    address = {Cham},
    pages = {387--404},
    isbn = {978-3-031-70549-6}
}
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Dataset used to train Teklia/pylaia-esposalles

Collection including Teklia/pylaia-esposalles