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

Try this model

Use this modelOpen in Transkribus
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
Languages
German