Næs Jernverkmuseum · PyLaia · Published June 11, 2024
Jacob Aall - Handwriting
Text Recognition
Description
A model trained on parts of Jacob Aalls correspondence with Niels Hofman-Bang between 1804-1823. (https://www.digitalarkivet.no/source/150323)
Built on the "19th century Danish Gothic handwriting" model with 130 epochs.
The "Jacob Aall - Handwriting"-model was formerly known as "JAall + Danish Handwriting (130)"
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
Low error rate8.88% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 8.88% 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.
Words11,478
Lines1,391
Training Pages84
Model ID102533