Dataset Open Access
Hollaus Fabian; Brenner Simon; Sablatnig Robert
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.3257366</identifier> <creators> <creator> <creatorName>Hollaus Fabian</creatorName> <affiliation>Computer Vision Lab, TU Wien</affiliation> </creator> <creator> <creatorName>Brenner Simon</creatorName> <affiliation>Computer Vision Lab, TU Wien</affiliation> </creator> <creator> <creatorName>Sablatnig Robert</creatorName> <affiliation>Computer Vision Lab, TU Wien</affiliation> </creator> </creators> <titles> <title>MSBin - MultiSpectral Document Binarization</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2019</publicationYear> <dates> <date dateType="Issued">2019-06-27</date> </dates> <resourceType resourceTypeGeneral="Dataset"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3257366</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3257365</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/cvl</relatedIdentifier> </relatedIdentifiers> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>This dataset is named <em>MSBin</em> which stands for MultiSpectral Document Binarization. The dataset is dedicated to the (document image) binarization of multispectral images. A ReadMe is contained within the dataset and also available here:<br> <a href="https://gist.github.com/hollaus/340acab1d6f25b181eefd0251b295c80">ReadMe</a></p> <p>The dataset is introduced in:<br> Hollaus, S. Brenner and R. Sablatnig: &quot;CNN based Binarization of MultiSpectral Document Images&quot;. To appear in: International Conference on Document Analysis and Recognition (ICDAR), 2019.</p></description> </descriptions> <fundingReferences> <fundingReference> <funderName>European Commission</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/674943/">674943</awardNumber> <awardTitle>Recognition and Enrichment of Archival Documents</awardTitle> </fundingReference> <fundingReference> <funderName>Austrian Science Fund</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100002428</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/FWF/Einzelprojekte/P+29892/">P 29892</awardNumber> <awardTitle>The Origin of the Glagolitic-Old Church Slavonic Manuscripts</awardTitle> </fundingReference> </fundingReferences> </resource>
All versions | This version | |
---|---|---|
Views | 213 | 213 |
Downloads | 71 | 71 |
Data volume | 190.5 GB | 190.5 GB |
Unique views | 196 | 196 |
Unique downloads | 21 | 21 |