Workshop HTR-United: metadata, quality control and sharing process for HTR training data

This workshop uses the environment created around the HTR-United catalog to demonstrate and discuss how to build a dataset of ground truth for text recognition and document it, and how to use HTR-United and its suite of tools to control its quality and describe it in a standardized way.

Related Organizations

CENTRE JEAN-MABILLON
France
University of Montreal
Canada

Keywords

Paper, standardization, and methods, History, Handwritten Text Recognition, datasets, optical character recognition and handwriting recognition, Computer science, Pre-Conference Workshop and Tutorial, data publishing projects, metadata standards, Literary studies, systems, Philology, artificial intelligence and machine learning, ground truth

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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).	0
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average