Furthermore, the concept of "verified" is expanding to include:

: Notable research has produced "cleaned" versions of the dataset. For instance, the MORPH-II: Inconsistencies and Cleaning Whitepaper details the creation of a "go for age" version, which removes subjects with unidentifiable birthdates to ensure consistent age information for training.

: Images of the same individuals were captured over multiple years (2003–2007), allowing for research on how aging affects biometric systems. Key Research Applications Age Estimation Protocols

MORPH II serves as the gold standard for several computer vision tasks:

The dataset comprises over 55,000 images of more than 13,000 individuals. What distinguishes Morph II from other facial databases is the temporal distribution. The images were taken over a span of decades, with the average time lapse between the earliest and latest image of a single individual being significant enough to exhibit visible aging. The subjects range in age from 16 to 77, capturing the critical transitions from young adulthood to middle and late adulthood. Crucially, the dataset includes metadata such as age, gender, and race, allowing for nuanced analysis of how aging differs across demographics.

The hallmark of MORPH II is its longitudinal nature. It contains over of approximately 13,000 individuals taken over multiple years.