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
Try this model
Drag an image here
Select a file...PNG or JPG up to 10 Mb
Wolpi
AI Assistant
By uploading an image, you accept our terms and privacy policy.
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