sandra.blaess · PyLaia · Published November 16, 2022
Wolfthorn_Julie_final_base:KurrentM2
Text Recognition
Description
Julie Wolfthorn's handwriting based on letters to Ida and Richard Dehmel. Base model: German_Kurrent_XIX_M2
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Low error rate9.1% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 9.1% 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.
Words21,721
Lines4,536
Training Pages269
Model ID47212