PyLaia
Collection
The PyLaia collection contains models designed for Automatic Text Recognition (ATR) from line images.
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14 items
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Updated
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1
This model performs Handwritten Text Recognition in French on medieval documents.
The model was trained using the PyLaia library on two medieval datasets:
For training, text-lines were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the Himanis training set.
On Himanis text lines, the model achieves the following results:
set | Language model | CER (%) | WER (%) | N lines |
---|---|---|---|---|
test | no | 9.87 | 29.25 | 2,241 |
test | yes | 8.87 | 24.37 | 2,241 |
Please refer to the documentation.
@inproceedings{pylaia-lib,
author = "Tarride, Solène and Schneider, Yoann and Generali, Marie and Boillet, Melodie and Abadie, Bastien and Kermorvant, Christopher",
title = "Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library",
booktitle = "Submitted at ICDAR2024",
year = "2024"
}