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Transkribus Community · PyLaia · Published February 14, 2022

Transkribus Finnish Handwriting M1

Text Recognition

Description

A general model for Finnish handwriting. Curated by the Transkribus team, this model is occasionally updated with community data for continuous improvement.

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Use this modelOpen in Transkribus
Low error rate7.8% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 7.8% 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.

Words366,962
Lines87,591
Training Pages3,730
Model ID39834
Languages
Finnish