Chronicling Novelty/Amsterdam City Archives · PyLaia · Published December 21, 2021

Dutch_XVII_Century

Text Recognition

Description

Chronicling Novelty and the Amsterdam City Archives present a first collaboration for a general model for handwritings from the Low Countries in the 17th Century. The Amsterdam City Archives contributed with 14 17th Century Amsterdam notarial handwritings, consisting of each maximum 290 scans training and each 10 scan validation: Bruijningh, Mathijsz, Westfrisius, Schaef, De Winter, Van der Groe, Anthony van de Ven, Van Sevenhoven, Des Pommare, Borsselaer, Pondt, De Vos, Joost van de Ven and Venkel. Chronicling Novelty (https://chroniclingnovelty.com/) contributed with 20 17th Century handwritings from chronicles from nowadays Belgium and the Netherlands, consisting of minimum 10 and maximum 290 scans training material per handwriting, if possible with a validation set of 10 scans. The following chronicles are included: Antwerpen (1643), Den Bosch (1604), Brugge (1675, 1684), Brussel (1681), Gent (1666, 1668, 1668), Hauwert (1636), Ieper (1695), Leeuwarden (1671, 1697), Mechelen (1657, 1665), De Rijp (1652), Rotterdam (1648, 1658, 1663, 1690) and Zwolle (1681).

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Low error rate9.8% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 9.8% 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.

Words1,890,993
Lines341,783
Training Pages4,842
Model ID38871
Languages
Dutch
Centuries
17th c.