University of Greifswald · PyLaia · Published November 9, 2020

German_Kurrent_17th-18th

Text Recognition

Description

The model was trained with manuscripts of the 17th, 18th and few dates of the 19th century. Occasionally, printed material from the same period were also included. In total, the Ground Truth is based on about 1500 idividual handwritings, which come from the council minutes of the University of Greifswald, the assessor votes of the Wismar High Court, the minutes of the pomeranian government of Stralsund, the responsa of the Greifswald Law Faculty and other archival holdings, such as private letter collections.

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Low error rate5.5% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 5.5% 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.

Words1,839,841
Lines289,857
Training Pages8,915
Model ID27457
Centuries
17th c.18th c.19th c.