Grant DOI: https://doi.org/10.54514/j3d7d 

Grantee: Florida International University

Lead Investigator: Rebekka Baker

Co-Lead Investigators: Kelley Rowan, Liting Hu, Boyuan Guan

Investigators: Zhongzhou Li, Ruizhe He, Christine Monge

Keywords: University library, Artificial intelligence, Facial recognition, Archival materials, Archives

Year Awarded: 2019

Amount: $25,000

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Description: The goal of this research project was 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 conducted qualitative assessments of facial recognition application models. This project addressed the issue of incomplete metadata within digital repositories and decreased the time involved in locating and matching images of people.

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