ina.serif · PyLaia · Published January 18, 2023
Basel_Avisblatt_M2
Text Recognition
Description
Gothic font of the Basel advertisement newspaper "Avisblatt", 19th century (1800-1844), following Basel_Avisblatt_M1 for the 18th century. Training set includes one page from each year between 1800 and 1844 (not: 1823); trainigs set: one page from 1833
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Very low error rate0.6% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 0.6% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material. This is a smaller, specialised model. It may achieve a very low CER on material similar to its training data, but could be less robust on unfamiliar handwriting or layouts.
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.
Words45,764
Lines8,073
Training Pages43
Model ID49389