Bayerische Vermessungsverwaltung · PyLaia · Published April 22, 2025
Bayerische Vermessungsverwaltung v3.1
Text Recognition
Description
Basiert auf dem öffentlichen Modell "Transkribus German Handwriting M1".
Das Modell wurde auf Sütterlin- und Kurrentschriften aus dem Zeitraum von 1800 bis 1950 trainiert, wobei unterschiedliche Handschriften aus ganz Bayern berücksichtigt wurden.
Try this model
Drag an image here
Select a file...PNG or JPG up to 10 Mb
Wolpi
AI Assistant
By uploading an image, you accept our terms and privacy policy.
Use this modelOpen in Transkribus
Moderate error rate11.02% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 11.02% 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.
Words21,384
Lines5,439
Training Pages194
Model ID327333