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 on French census documents.
The model was trained using the PyLaia library on the POPP generic.
For training, text-lines were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
split | N lines |
---|---|
train | 3,835 |
val | 480 |
test | 479 |
An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the POPP training set.
The model achieves the following results:
set | Language model | CER (%) | WER (%) | N lines |
---|---|---|---|---|
test | no | 16.49 | 36.26 | 479 |
test | yes | 16.09 | 34.52 | 479 |
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"
}