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---
library_name: PyLaia
license: mit
tags:
- PyLaia
- PyTorch
- atr
- htr
- ocr
- modern
- handwritten
metrics:
- CER
- WER
language:
- fr
datasets:
- Teklia/rimes-2011-lines
pipeline_tag: image-to-text
---
# PyLaia - RIMES
This model performs Handwritten Text Recognition in French.
## Model description
The model has been trained using the PyLaia library on the [RIMES](https://teklia.com/research/rimes-database/) dataset.
Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
| split | N lines |
| ----- | ------: |
| train | 10,188 |
| val | 1,138 |
| test | 778 |
An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the RIMES training set.
## Evaluation results
The model achieves the following results:
| set | Language model | CER (%) | WER (%) | N lines |
|:------|:---------------|:----------:|:-------:|----------:|
| test | no | 4.53 | 15.06 | 778 |
| test | yes | 3.47 | 10.20 | 778 |
## How to use
Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).
## Cite us
```bibtex
@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"
}
``` |