Bram Caers · PyLaia · Published November 28, 2022
Dutch manuscript poetry 1603-1636
Text Recognition
Description
Model trained on an extensive manuscript of early modern poetry, in separate hands (of which one is the most important) using different types of writing and special lay-outs (e.g. chronograms).
Author of the manuscript is a rhetorician (vernacular poet) from Mechelen, present-day Belgium, active in the first decades of the seventeenth century.
Training was based on a word count of over 50,000 words (more than 200 folios of text).
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Very low error rate5% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 5% 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.
Words51,788
Lines7,420
Training Pages170
Model ID48304