wikimedia · PyLaia · Published May 10, 2024

Javanese And Latin

Text Recognition

Description

Trained on Serat Wedhatama Latest Model

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Use this modelOpen in Transkribus
Low error rate6.31% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 6.31% 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.

Words2,455
Lines661
Training Pages49
Model ID74030
Languages
JavaneseLatin
Centuries
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