AI for Archives: Using Facial Recognition to Enhance Metadata

Simple item page
dc.contributor.authorBakker, Rebecca
dc.contributor.authorRowan, Kelley
dc.contributor.authorHu, Liting
dc.contributor.authorGuan, Boyuan
dc.contributor.authorLi, Zhongzhou
dc.contributor.authorHe, Ruizhe
dc.contributor.authorMonge, Christine
dc.date.accessioned2021-03-11T16:02:09Z
dc.date.available2021-03-11T16:02:09Z
dc.date.issued2020
dc.description.abstract$25,000. The goal of this research project is to determine the most effective facial recognition application for use with digitized archive images from cultural heritage institutions and provide opportunities for future development. Florida International University computer scientists and librarians will conduct qualitative assessments of facial recognition application models. This project addresses the issue of incomplete metadata within digital repositories and decreases the time involved in locating and matching images of people.en_US
dc.description.sponsorshipThis project was made possible in part by a 2019 award from the Catalyst Fund at LYRASIS.en_US
dc.identifier.doihttps://doi.org/10.48609/h4rr-vk28en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12669/72
dc.language.isoen_USen_US
dc.publisherLYRASIS; Florida International Universityen_US
dc.rightsThis research is licensed under a Creative Commons Attribution-ShareAlike 4.0 License https://creativecommons.org/licenses/by-sa/4.0/en_US
dc.subjectArtificial intelligenceen_US
dc.subjectFacial recognitionen_US
dc.subjectArchival materialsen_US
dc.subject.lcshArtificial Intelligenceen_US
dc.subject.lcshHuman face recognition (Computer science)en_US
dc.titleAI for Archives: Using Facial Recognition to Enhance Metadataen_US
dc.title.alternativeFlorida International University – AI for Archives: Using Facial Recognition to Enhance Metadataen_US
dc.typeTechnical Reporten_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
2019-WP-FIU.pdf
Size:
437.2 KB
Format:
Adobe Portable Document Format
Description:
Final Report
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Catalyst Fund Projects