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PyLaia - NorHand v2

This model performs Handwritten Text Recognition in Norwegian. It was developed during the HUGIN-MUNIN project.

Model description

The model was trained using the PyLaia library on the NorHand v2 dataset.

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

split N lines N horizontal lines
train 146,693 145,061
val 15,119 14,980
test 1,830 1,793

An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the NorHand v2 training set.

Evaluation results

The model achieves the following results:

set Language model CER (%) WER (%) N lines
test no 3.82 12.00 1,573
test yes 3.13 9.29 1,573

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"
}
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Dataset used to train Teklia/pylaia-norhand-v2

Collection including Teklia/pylaia-norhand-v2