tim.geelhaar · PyLaia · Published April 7, 2023

Carolingian Minuscule Model CMM 9th-11th c.

Text Recognition

Description

This model is based on 46 different manuscripts from ca. 800 until ca. 1100, mainly written in the Carolingian minuscule. The manuscripts cover different genres such as biblical texts, theological treatises, penitentiary books, histories, mathematical treatises, Canon Law and capitularies and many more. A complete description of the model will be soon published by Tim Geelhaar in AMAD.org

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Low error rate5.2% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 5.2% 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.

Words179,520
Lines23,380
Training Pages620
Model ID51210
Languages
Latin