llilasbensondigitalscholarship · PyLaia · Published June 4, 2023

llilas_benson_17-18th_italica_cursiva_v4

Text Recognition

Description

Model for 17th- & 18th-century Spanish handwriting based on manuscripts at the Benson Latin American Collection, the University of Texas at Austin.

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Low error rate5.3% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 5.3% 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.

Words89,315
Lines10,589
Training Pages441
Model ID52593
Languages
Castilian