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vdja0206 · PyLaia · Published October 16, 2025

Landericht Oldenzaal V10

Text Recognition

Description

Landgericht Volontaire Zaken Oldenzaal vanaf 1726-1811. Ongeveer 35% (Marken De Lutte, Beuningen en Berghuizen) gecontroleerd. Twentse eigennamen, steden, dorpen of buurschappen, veldnamen en afmetingen. Akkoord voor aanvulling Super Model.

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Use this modelOpen in Transkribus
Low error rate5.9% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 5.9% 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.

Words752,929
Lines125,129
Training Pages1,647
Model ID416997
Languages
Dutch
Centuries
19th c.20th c.