Paris University · PyLaia · Published May 12, 2020
LaMOP-Livre_Rouge_1_PyLaia_v2
Text Recognition
Description
This model is based on the book "Y//3 Livre Rouge, Châtelet de Paris (11..-1790)" (Archives Nationales de France).
This model was released by Hugo Regazzi (Universite Paris 1/LaMOP), Pierre Brochard (CNRS/LaMOP) and Julie Claustre (Universite Paris 1/LaMOP)
All the data and pictures can be found at
https://gitlab.huma-num.fr/lamop/htr/blob/master/Livre_Rouge-Archives_Nationales/README.txt
Trained from "LaMOP-Livre_Rouge_1_PyLaia" as base model
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Moderate error rate10.7% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 10.7% 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.
Words20,358
Lines1,784
Training Pages54
Model ID23755