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
Year Awarded: 2019
Amount: $25,000
Related Items:
- Final Report: https://doi.org/10.48609/h4rr-vk28
- Presentation Slides: https://doi.org/10.48609/xs5d-mt62
Description: 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.
