Rahul Krishna (NIT Trichy, India), Ravi Kiran (IIIT Hyderabad, India) · PyLaia · Published November 26, 2022

balinese_v1

Text Recognition

Description

paparikan ramayana and gaguritan sucita datasets

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Use this modelOpen in Transkribus
Very low error rate0.4% CER

Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 0.4% 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.

Words1,849
Lines1,830
Training Pages199
Model ID48252
Languages
Balinese
Centuries
16th c.