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French Livre Rouge

Free Public AI Model for Handwritten Text Recognition with Transkribus

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French Livre Rouge
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This model is based on the book “Y//3 Livre Rouge, Châtelet de Paris (11..-1790)” (Archives Nationales de France) and the 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

20 000 words have been trained for this model and the error rate is 10,70%.

Model Overview

Name:
LaMOP-Livre_Rouge_1_PyLaia_v2
Creator:
Paris University
Model ID:
23755
Century:
14th, 15th, 16th, 17th, 18th, 13th, 12th
Languages:
French
Script:
Latin alphabet
Engine:
PyLaia
Material:
Handwritten
CER on validation set:
10.70 %
Simply upload a picture and test this model

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LaMOP-Livre_Rouge_1_PyLaia_v2 is freely available to everyone

Get started with Transkribus and use it for your own Material
You can use this model to automatically transcribe Handwritten documents with Handwritten Text Recgnition in Transkribus. This model can be used in the Transkribus Expert Client as well as in Transkribus Lite.
This AI model was trained to automatically convert text from images of historical Latin alphabet documents into editable and searchable text.
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