Achim Rabus (University of Freiburg) · PyLaia · Published June 9, 2020
VMC_Test_4+
Text Recognition
Description
Training data consist of parts of the Russian Church Slavonic Great Reading Menology (16th century). The model is tailored towards transcribing Cyrillic semi-uncial script from the 16th century.
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Very low error rate3.6% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 3.6% 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.
Words173,287
Lines38,374
Training Pages215
Model ID24509