AI for Archives: Using Facial Recognition to Enhance Metadata

dc.contributor.author Bakker, Rebecca
dc.date.accessioned 2021-03-11T16:04:34Z
dc.date.available 2021-03-11T16:04:34Z
dc.date.issued 2019-10-03
dc.description.abstract This is the slide presentation from the 2019 LYRASIS Leaders Summit documenting the Florida International University Catalyst Fund project - AI for Archives: Using Facial Recognition to Enhance Metadata. en_US
dc.description.sponsorship This project was made possible in part by a 2019 award from the Catalyst Fund at LYRASIS. en_US
dc.identifier.doi https://doi.org/10.48609/xs5d-mt62 en_US
dc.identifier.uri http://hdl.handle.net/20.500.12669/73
dc.language.iso en_US en_US
dc.publisher LYRASIS en_US
dc.rights This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License. en_US
dc.subject Artificial intelligence en_US
dc.subject Facial recognition en_US
dc.subject Archival materials en_US
dc.subject.lcsh Artificial Intelligence en_US
dc.subject.lcsh Human face recognition (Computer science) en_US
dc.title AI for Archives: Using Facial Recognition to Enhance Metadata en_US
dc.title.alternative Florida International University – AI for Archives: Using Facial Recognition to Enhance Metadata en_US
dc.type Presentation en_US
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