Transkribus Community · PyLaia · Published October 4, 2022

Transkribus portuguese handwriting M2

Text Recognition

Description

General model for Portuguese handwriting. Curated by the Transkribus team, this model is occasionally updated with community data for continuous improvement.

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Low error rate8% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 8% 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.

Words707,803
Lines98,811
Training Pages2,766
Model ID45090
Languages
Portuguese