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)"

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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
Languages
Bokmål
Centuries
19th c.