Marinus Wiedner · PyLaia · Published June 14, 2023
Old Occitan Handwriting
Text Recognition
Description
Old Occitan Handwriting with 6 Texts as Ground Truth: Las Leys d'amors (= Bibliothèque municipale de Toulouse, cote 2883/-4), le roman de Flamenca (=Bibliothèque municipale de Carcassonne, cote 34), La vida de sant Enimia (=BnF, Arsenal 6355), BnF: NAF 11180, NAF 1050, Latin 1139, Français 846
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Very low error rate3.5% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 3.5% 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.
Words192,034
Lines33,155
Training Pages824
Model ID52822