Martin Anton Müller und Laura Untner (beide Österreichische Akademie der Wissenschaften) · PyLaia · Published October 24, 2022

Paul-Goldmann_German-Kurrent_1889–96_V1

Text Recognition

Description

HTR model for the handwriting (German Kurrent) of the journalist Paul Goldmann (1865–1935). The model was trained with letters from 1889 to 1896 by Martin Anton Müller and Laura Untner (Austrian Academy of Sciences).

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Paul-Goldmann_German-Kurrent_1889–96_V1
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Very low error rate4.4% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 4.4% 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.

Words63,310
Lines15,046
Training Pages858
Model ID45551
Languages
German
Centuries
19th c.