b.j.m.caers · PyLaia · Published April 5, 2023
Civilité Print Type
Text Recognition
Description
Model trained on a limited amount of printed material in 'civilité' type, a font used to mimic Renaissance handwriting, common in sixteenth-century vernacular printing. Model was trained on Dutch poetry printed by Antwerp printer Christopher Plantin.
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Very low error rate1.9% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 1.9% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material. This is a smaller, specialised model. It may achieve a very low CER on material similar to its training data, but could be less robust on unfamiliar handwriting or layouts.
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.
Words4,693
Lines664
Training Pages30
Model ID51163