Prof. Achim Rabus from the University of Freiburg has released two specialized models which are able to read Russian Curch Slavonic. The first model is called VMC_Test_4+: Training data consist of parts of the Russian Church Slavonic Great Reading Menology (16th century). The model is tailored towards transcribing Cyrillic semi-uncial script from the 16th century. Character Error Rates for the training data are 3.72% and for the validation set 3.92% and for the validation set 3.82%.
The second model is called: Combined_Full_VKS_2: Training data consist of parts of the Russian Church Slavonic Great Reading Menology (16th century), Old Church Slavonic Codex Suprasliensis (11th century), and the 11th century manuscript of the Catecheses of Cyril of Jerusalem. This is a generic model suitable for transcribing a variety of Old Cyrillic script styles including uncial and semi-uncial. Character Error Rates for the training data are 4.42% and for the validation set 3.92%.
Achim has written a detailed report about his usage of Transkribus which is an excellent example how such a general model can be created. Thanks a lot!