sandra.blaess · PyLaia · Published November 17, 2022
Zweig_Stefan_final
Text Recognition
Description
Stefan Zweig's handwriting based on letters to Ida and Richard Dehmel.
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Use this modelOpen in Transkribus
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.
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.
Words10,099
Lines1,505
Training Pages84
Model ID47766