French newspapers late 18th century – midth of 20th century

Free Public AI Model for Handwritten Text Recognition with Transkribus

French newspapers late 18th century – midth of 20th century

The model works well with French print from late 18th century to mid of 20th century. For standard text in French newspapers from that time error rates much below 1% were measured.
The model was created in the NewsEye project and is based on training data coming from the digital library Gallica of the French National Library (BnF). 434100 words have been trained and the CER on the validation set is 4.20%.

Model Overview

Name:
BnF_Newseye_M2+
Creator:
Newseye-project
Model ID:
37747
Century:
18th, 19th, 20th
Languages:
French
Script:
Latin alphabet
Engine:
PyLaia
Material:
Print
CER on validation set:
4.20 %
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BnF_Newseye_M2+ is freely available to everyone

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You can use this model to automatically transcribe Print 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.