Tobias Hodel · PyLaia · Published November 17, 2021

German_Kurrent_XIX-XX_M6-2

Text Recognition

Description

Large train and test set for german kurrent (19. century). GT from different projects and partners. Major contributions by: - Universitätsarchiv Greifswald - Staatsarchiv Zürich - jurisprudentia, Zürich - Humboldt, Berlin

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Very low error rate4.6% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 4.6% 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.

Words6,343,689
Lines1,027,960
Training Pages31,556
Model ID38230