REPUBLIC Project (Huygens ING) · PyLaia · Published December 12, 2022

Republic_7

Text Recognition

Description

This model is based on the handwritten resolutions of the Dutch States-General (1576-1796). It has been created during the project 'REPUBLIC', which aims to provide an online searchable edition of the Resolutions. For more information regarding the background of the model and how to cite it, please visit: https://republic.huygens.knaw.nl/index.php/verhalen/

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Use this modelOpen in Transkribus
Very low error rate3.1% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 3.1% 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.

Words236,349
Lines42,359
Training Pages465
Model ID48712
Centuries
17th c.18th c.