Transkribus Community · PyLaia · Published August 16, 2021
Transkribus German handwriting M1
Text Recognition
Description
Includes Transkribus German Kurrent M2 and some sets containing german language Latin script.
This model works well for documents/collections with Kurrent/Sütterlin and Latin script mixed. For only Kurrent or only Latin script the dedicated models might work better, so please test and compare before use.
Curated by the Transkribus team, this model is occasionally updated with community data for continuous improvement.
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Very low error rate4.7% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 4.7% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material. This is a larger model trained on diverse material, which generally makes it more robust across different handwriting styles. That said, larger training sets also make it harder to push the CER down further.
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.
Words3,610,922
Lines579,537
Training Pages18,327
Model ID35909