Case Study
Designing interfaces for Archival Search using DeepFace
Description
Art Search frames ML and facial recognition as both artifacts and as archaeological tools. Using phenotypic matching the project explores bias in existing computer vision systems like DeepFace, while continuing to craft and source its own archival training data.