Entangled Histories project (National Library of the Netherlands) · PyLaia · Published September 16, 2020
Dutch_Romantype_Pylaia
Text Recognition
Description
This model is based on printed texts in the Roman font that was used in the Low Countries, during the 16th, 17th and 18th century. The type of sources used for this model, are books of ordinances, which contained the norms ('laws') at the time.
This model has been the result of one of the KB National Library of the Netherlands Researcher-in-Residence position 2019. The project was called 'Entangled Histories'.
For more information regarding the background of the model and how to cite it, please visit: www.https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries
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Very low error rate1.4% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 1.4% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material.
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.
Words88,105
Lines13,013
Training Pages186
Model ID26138