PyLaia
Collection
The PyLaia collection contains models designed for Automatic Text Recognition (ATR) from line images.
•
15 items
•
Updated
•
3
This model performs Handwritten Text Recognition in French on French census documents.
The model was trained using the PyLaia library on the POPP generic dataset.
Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
set | 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 (%) | lines |
---|---|---|---|---|
test | no | 16.49 | 36.26 | 479 |
test | yes | 16.09 | 34.52 | 479 |
Please refer to the PyLaia documentation to use this model.
@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}
}