alhuang · PyLaia · Published February 21, 2025

Lübecker Verwaltungsschriftgut 17. Jh. v. 2

Text Recognition

Description

Das Modell wurde traininert auf Grundlage von gut 100 Seiten aus zwei Bänden der "Lübecker Ratsprotokolle" (1669, 1674/75) und der Trainingsdaten des Modells "Hanserezesse 17th Century v.5". Die Handschrift ist in hochdeutscher Sprache verfasst, ggf. mit niederdeutschen Elementen. Basismodell für das Training war "German Giant I".

Try this model

Use this modelOpen in Transkribus
Low error rate5.78% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 5.78% 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.

Words149,860
Lines28,019
Training Pages1,043
Model ID294033
Languages
GermanLow