tobias.hodel · PyLaia · Published May 17, 2022

German_Kurrent_XVI-XVIII_M6.0

Text Recognition

Description

Generic model for the recognition of Kurrent scripts. Different Documents and Styles. Incl. StAZH, StABE, Haller, Hanse Rezesse & Greifswald, Bautzen, Tübingen, Dänemark.

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Low error rate6.8% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 6.8% 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.

Words4,758,275
Lines871,854
Training Pages22,583
Model ID42080
Languages
DanishGerman