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---
library_name: PyLaia
license: mit
tags:
- PyLaia
- PyTorch
- Handwritten text recognition
metrics:
- CER
- WER
language:
- en
---
# English printed text recognition
This model performs Handwritten Text Recognition in English.
## Model description
The model has been trained using the PyLaia library on the [IAM](https://fki.tic.heia-fr.ch/databases/iam-handwriting-database) dataset.
Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
## Evaluation results
The model achieves the following results:
| Split | CER (%) | WER (%) | Support |
| ----- | ------- | ------- | ------- |
| train | 0.32 | 1.26 | 6482 |
| val | 6.50 | 19.12 | 1926 |
| test | 7.68 | 19.82 | 1965 |
These results were published [Key-value information extraction from full
handwritten pages](https://arxiv.org/pdf/2304.13530.pdf).
Results can be improved by combining PyLaia with a n-gram language model.
## How to use
Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).
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