Machine learning meets library archives: Image Analysis to generate descriptive metadata

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dc.contributor.authorMaringanti, Harish
dc.contributor.authorSamarakoon, Dhanushka
dc.contributor.authorZhu, Bohan
dc.date.accessioned2021-03-09T19:38:04Z
dc.date.available2021-03-09T19:38:04Z
dc.date.issued2019
dc.descriptionWork on this project continues under a new title - “Sheeko: A computational helper to describe digital images” - at https://sheeko.org/.en_US
dc.description.abstract$34,700 to develop and test a model for applying machine learning techniques to extract useful information from historical images to assist in and increase the efficiency of metadata creation for archives, libraries and museums of all types.en_US
dc.description.sponsorshipThis project was made possible in part by a 2018 award from the Catalyst Fund at LYRASIS.en_US
dc.identifier.doihttps://doi.org/10.48609/pt6w-p810en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12669/58
dc.language.isoen_USen_US
dc.publisherLYRASIS; University of Utahen_US
dc.rightsThis work is licensed under Creative Commons Attribution-NonCommercial-SharerAke 4.2 International License.en_US
dc.subjectMachine learningen_US
dc.subjectMetadata creationen_US
dc.subject.lcshMachine learningen_US
dc.subject.lcshMetadata harvestingen_US
dc.titleMachine learning meets library archives: Image Analysis to generate descriptive metadataen_US
dc.title.alternativeUniversity of Utah – Machine Learning Meets Library Archivesen_US
dc.typeTechnical Reporten_US
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