walker.thompson · PyLaia · Published July 11, 2022

Polikarpov+Sbornik+Bukvar

Text Recognition

Description

New general model for trilingual early Cyrillic printings, now including data from Fedor Polikarpov's Primer

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Very low error rate0.8% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 0.8% 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.

Words140,906
Lines48,129
Training Pages822
Model ID43537
Languages
Church SlavicGreek Modern (1453-)Greek Ancient (to 1453)Latin