Transkribus · PyLaia · Published December 13, 2022
VB_1750_1800_M1Base
Text Recognition
Description
Verfachbücher Mittleres Pustertal 2. Hälfte 18. Jahrhundert, mehrere Hände mit Base Model German_Kurrent_XVI-XVIII_M1
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Use this modelOpen in Transkribus
Very low error rate4.9% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 4.9% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material.
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.
Words106,794
Lines28,314
Training Pages424
Model ID48741