REPUBLIC PageXML ground truth handwritten resolutions States General
Using annotation software provided through the Transkribus Platform we annotated scans, concerning mostly 17th century handwritten documents from the National Archive of the Netherlands, with their textual transcriptions. The resulting ground truth was used to train a machine learning model yielding...
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creator | Sluijter, Ronald van Koert, Rutger Baars, Michael Swüste, Marja van Gent, Michel van Gelder, Esther Hollestelle, Jesse Ruigrok, Ger Nijenhuis, Ida Oddens, Joris |
description | Using annotation software provided through the Transkribus Platform we annotated scans, concerning mostly 17th century handwritten documents from the National Archive of the Netherlands, with their textual transcriptions. The resulting ground truth was used to train a machine learning model yielding very accurate results. The ground truth was made available as an open access dataset. |
doi_str_mv | 10.5281/zenodo.7695130 |
format | Dataset |
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identifier | DOI: 10.5281/zenodo.7695130 |
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language | dut |
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subjects | Handwritten Text Recognition Layout Analysis PageXML Resolutions States General |
title | REPUBLIC PageXML ground truth handwritten resolutions States General |
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