jan.odstrcilik · PyLaia · Published January 29, 2024

Latin Model based on ÖNB Cod. 3891

Text Recognition

Description

Model based on Ms ÖNB, Cod. 3891. Century: 15th Scribe: Wolfgang Chranekker Script: Bastarda Description of the manuscript: https://manuscripta.at/?ID=6137 This model was created during two consecutive Winter Schools of HTR in Vienna by participants of the Late Medieval Group. See the list of all participants and other details: 2022: https://doi.org/10.5281/zenodo.7467248 2023: https://doi.org/10.5281/zenodo.10589479 The Winter Schools were supported by READ-COOP with free credits.

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Low error rate7.9% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 7.9% 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.

Words22,027
Lines2,913
Training Pages43
Model ID59022
Languages
Latin