Transkribus Team · PyLaia · Published September 28, 2022

Transkribus Polish M2

Text Recognition

Description

A general model for historical and modern Polish handwriting. Curated by the Transkribus team, this model is occasionally updated with community data for continuous improvement.

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Transkribus Polish M2
Use this modelOpen in Transkribus
Very low error rate4.1% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 4.1% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material. This is a larger model trained on diverse material, which generally makes it more robust across different handwriting styles. That said, larger training sets also make it harder to push the CER down further.

Measured on the model's own validation data. Results on your documents may differ depending on handwriting style, document condition, language, and how closely your material resembles the training data.

Words764,469
Lines125,455
Training Pages3,701
Model ID44976
Languages
Polish
Centuries
17th c.18th c.19th c.20th c.21st c.