Access to the MORPH II dataset is not public; it requires a formal verification process.
The dataset, developed by the University of North Carolina Wilmington (UNCW), is the world's largest longitudinal facial recognition database, containing over 55,000 unique images from roughly 13,000 subjects . It is a cornerstone for research in facial aging, age estimation, and demographic classification. Dataset Overview and Composition morph ii dataset verified
The original MORPH-II was compiled using self-reported data from mugshots. This led to several data integrity issues: Inconsistent Birthdates: Access to the MORPH II dataset is not
The database includes diverse ancestry, primarily African (77%), European (19%), and smaller percentages of Asian, Hispanic, and Indian descent. Each entry is accompanied by rich metadata, including Subject ID Date of Birth Date of Arrest (varying from 16 to 77 years). Technical Specs: Dataset Overview and Composition The original MORPH-II was