Morph Ii Dataset May 2026

Exploring the MORPH II Dataset: A Comprehensive Overview

• Total Images: ~55,000+
• Subjects: ~13,000+ unique individuals
• Age Range: 16 to 77 years
• Gender Split: ~80% Male, ~20% Female
• Demographics: ~77% African American, ~23% Caucasian (notable skew—important to note for bias research)

B. Age-Invariant Face Recognition

Can you recognize someone in a photo taken at age 20 using a gallery photo taken at age 45? This is a critical problem for law enforcement (finding fugitives after years on the run) and social media (tagging friends in old photos). MORPH II provides the genuine temporal pairs needed to train and test such systems. morph ii dataset

Massive Scale: The non-commercial version of the dataset contains 55,134 images of approximately 13,000 different individuals. Exploring the MORPH II Dataset: A Comprehensive Overview

Environmental Consistency: Most photos were taken in a "mugshot" style. While this provides excellent clarity for facial features, it lacks the "in the wild" variability (different lighting, poses, and occlusions) found in datasets like LFW (Labeled Faces in the Wild). 134 images of approximately 13

The Longitudinal Design

The crown jewel of Morph II is its longitudinal structure. For a subset of approximately 4,000 subjects, the dataset includes five or more images spaced over time. This allows researchers to:

Performance Benchmarks: What Good Looks Like on Morph II

For researchers evaluating models on Morph II, the following metrics are standard: