Jan M. Gronski · PyLaia · Published November 13, 2022
Russian Civil Records late XIX cent.
Text Recognition
Description
Model developed by the L'Dor V'Dor Foundation's (LDVDF) Documentation of Jewish Records Worldwide (DoJR) project in partnership with the International Association of Jewish Genealogical Societies (IAJGS);
based on scans of documents from Congress Poland, Ukraine and Russia 1914-1968. Works particularly well with civil records from Congress Poland
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Low error rate7.3% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 7.3% 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.
Words47,066
Lines9,609
Training Pages264
Model ID46147