The MORPH II dataset is one of the most widely used benchmarks in computer vision for research on facial age estimation, gender classification, and race identification. Created by the Face Aging Group at the University of North Carolina Wilmington (UNCW), it is a large-scale, longitudinal database that captures how faces change over time. Key Statistics and Composition
Biometrics: Gender, race (Black, White, Asian, Hispanic, Other), and age. morph ii dataset
MORPH-II remains a foundational dataset for face aging research over a decade after its release. Its real-world longitudinal design is rare, but users must account for demographic skew and access restrictions. Future aging datasets should aim for greater demographic diversity and more images per subject while maintaining MORPH-II’s realistic imaging consistency. The MORPH II dataset is one of the
Scale: Contains 55,134 images from approximately 13,000 subjects . Future aging datasets should aim for greater demographic