Elisabeth Gruber, Mining Hub · PyLaia · Published November 13, 2022
Kurrent_1515_ENHG_v3
Text Recognition
Description
The model is based on the historical mining document "Schwazer Berglehenbuch" which was written by different scribes in the beginning of the 16th century (approx. 1515).
As a result the geographical core region of the document is the mining area Falkenstein in Schwaz (Tyrol, Austria). The manuscript is currently stored by the Tyrolean Regional Archive (Hs. 1587)
Language used: Early New High German
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Very low error rate4% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 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.
Words105,394
Lines13,004
Training Pages367
Model ID46140