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fios · PyLaia · Published June 18, 2022

gd_2022-06-18_main

Text Recognition

Description

A model for Scottish Gaelic based on the main hand (_m_ in file name) of materials from the tale archive of the School of Scottish Studies created as part of the Hidden Heritages project in 2022 for Edinburgh University.

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Use this modelOpen in Transkribus
Very low error rate1.6% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 1.6% 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.

Words482,473
Lines62,339
Training Pages2,580
Model ID42849
Languages
Gaelic