Developed by researchers at the University of Notre Dame, specifically under the guidance of Dr. Kevin Bowyer and his team, the Morph II dataset (officially known as the MORPH Album 2) built upon the foundation laid by its predecessor, Morph I. While the initial dataset provided a proof of concept, Morph II was designed for scale and diversity. The data was gathered from historical arrest records, providing a "wild" or uncontrolled environment that is far more challenging—and realistic—than studio-lit datasets.
: Popular schemes involve balanced subsets, such as 9,600 images equally divided among Black/White Males and Females. How to Access While versions of the dataset exist on platforms like
In the intersection of computer vision, biometrics, and gerontology, few datasets have achieved the legendary status of the . For over a decade, it has been the cornerstone of age estimation, face recognition, and longitudinal facial analysis. However, a persistent challenge has haunted researchers: data inconsistency. This is where the concept of a MORPH II dataset verified transforms from a nice-to-have into an absolute necessity. morph ii dataset verified
It contains images of both male and female subjects.
The original MORPH-II was compiled using self-reported data from mugshots. This led to several data integrity issues: Inconsistent Birthdates: Developed by researchers at the University of Notre
Images were captured between 2003 and 2007, with some individuals appearing multiple times, allowing researchers to track aging over several years.
Images are typically provided as 8-bit color JPEGs, often cropped and aligned for immediate use in machine learning pipelines. The "Verified" Aspect: Cleaning and Inconsistencies The data was gathered from historical arrest records,
MORPH II dataset (released in 2008) is a foundational longitudinal face database used extensively for research in facial recognition age estimation demographic classification Verified Dataset Overview