makifberber · PyLaia · Published September 7, 2024

Ottoman Fatwa Manuscript

Text Recognition

Description

This model is useful for Ottoman manuscripts. It is trained with a fatwa manuscript and rich in religious content like classical works and subjects in fiqh literature.

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Low error rate5.94% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 5.94% 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.

Words34,461
Lines2,888
Training Pages72
Model ID169801
Languages
Turkish Ottoman (1500-1928)
Centuries
14th c.15th c.16th c.17th c.18th c.19th c.