City Archives of Amsterdam · PyLaia · Published December 2, 2022

Dutch Notarial Model 18th Century

Text Recognition

Description

This is the first 18th Century general model created by the City Archives of Amsterdam. It is based on thousands of scans from in total 15 different notaries who worked in Amsterdam during the 18th Century. All notaries (except Van Hoorn and Van Esterwege) have 10 scans validation included (2671 scans training, 130 validation)): Maten de Jonge (200) Van Homrigh (127) Zweerts (200) Ardinois (200) Pot (152) Staal (300) Van den Brink (300) Van Esterwege (103) Van Hoorn (58) De Fremeri (231) Barels de Jonge (110) Des Pommare (110) Van Loon (110)) Verleij (300) Van Heel (300)

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Low error rate5.4% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 5.4% 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.

Words622,904
Lines118,297
Training Pages3,357
Model ID48426
Centuries
18th c.