README.md

metadata

library_name: PyLaia
license: mit
tags:
  - PyLaia
  - PyTorch
  - atr
  - htr
  - ocr
  - modern
  - handwritten
metrics:
  - CER
language:
  - zh
datasets:
  - Teklia/CASIA
pipeline_tag: image-to-text

PyLaia - CASIA-HWDB2

This model performs Handwritten Text Recognition in Chinese.

Model description

The model was trained using the PyLaia library on the CASIA-HWDB2 document images.

Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.

split	N lines
train	33,425
val	8,325
test	10,449

An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the CASIA-HWDB2 training set.

Evaluation results

The model achieves the following results:

set	Language model	CER (%)	N lines
test	no	4.61	10,449
test	yes	1.53	10,449

How to use?

Please refer to the documentation.

Cite us!

@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"
}