handskrifter.stadsarkivet · PyLaia · Published June 29, 2023

Stockholm Notaries 1700 3.0

Text Recognition

Description

Based on protocolls of various authorities in Stockholm 1713-1795

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Use this modelOpen in Transkribus
Very low error rate1.7% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 1.7% 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.

Words1,390,979
Lines328,422
Training Pages6,355
Model ID53149
Languages
Swedish