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ZENODO
Other literature type . 2023
License: CC BY SA
Data sources: ZENODO
ZENODO
Other ORP type . 2023
License: CC BY SA
Data sources: Datacite
ZENODO
Other ORP type . 2023
License: CC BY SA
Data sources: Datacite
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HTR model for German manuscripts trained from several datasets

appsOther research productkeyboard_double_arrow_right Other ORP type , Other literature type 13 May 2023Publisher:Zenodo
Authors: Weil, Stefan;

doi: 10.5281/zenodo.7933462 , 10.5281/zenodo.7933463

HTR model for German manuscripts trained from several datasets

Abstract

This German handwriting recognition model has been trained with ground truth from different sources. It is based on a model for printed text. Details of the training process can be found here: https://github.com/UB-Mannheim/kraken/wiki/Training-German-Handwriting

Related Organizations
Keywords

Handwritten text recognition, Manuskript, kraken_pytorch, HTR

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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765