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 Catalan (19th century).
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.
split | N 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.
The model achieves the following results:
set | Language model | CER (%) | WER (%) | N lines |
---|---|---|---|---|
test | no | 0.76 | 2.62 | 757 |
test | yes | 1.04 | 3.38 | 757 |
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"
}