pagantibet · PyLaia · Published July 13, 2024
PaganTibet Ume 1
Text Recognition
Description
PaganTibet Ume 1 was developed as part of the PaganTibet project (pagantibet.com) at EPHE-PSL Paris, with funding from the European Union (ERC, Reconstructing the Pagan Religion of Tibet (2023-2028), 101097364). The model was trained on a dataset of 276 images from a diverse collection of Tibetan-language manuscripts, with 238 images used for training and 38 for validation. Most images consist of photographs of two manuscript pages.
This model is an earlier iteration of PaganTibet Ume 5 (Transkribus Model ID: 443525).
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Use this modelOpen in Transkribus
Low error rate6.99% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 6.99% 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.
Words7,010
Lines2,338
Training Pages238
Model ID131553