Transkribus Community · PyLaia · Published August 14, 2021

German Combined M1

Text Recognition

Description

combined model for handwriting (kurrent and latin script), print (fraktur and antiqua) and typewriter train sets and validation sets from - transkribus german kurrent m2 - noscemus gm 4 pylaia - transkribus print - a couple of new documents

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Very low error rate2.1% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 2.1% 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.

Words8,090,801
Lines1,273,862
Training Pages27,806
Model ID35861
Languages
German