| Race/Ethnicity | Male | Female | | | :--- | :--- | :--- | :--- | | Black | 36,832 | 5,757 | 42,589 | | White | 7,961 | 2,598 | 10,559 | | Hispanic | 1,667 | 102 | 1,769 | | Asian | 141 | 13 | 154 | | Other | 44 | 19 | 63 | | Total | 46,645 | 8,489 | 55,134 |

However, matching two images of the same person captured years apart remains a difficult challenge in computer vision. Human faces change continuously due to biological aging, lifestyle factors, and environmental exposure. These changes can degrade the accuracy of standard biometric algorithms.

The images are not "posed" or studio-quality, but rather resemble real-world scenarios, making it suitable for training robust, real-world age-estimation technologies. Key Applications

[UNCW Morph Dataset Page] (Search "MORPH II dataset UNC Wilmington")

"Binary, actually," Silas corrected. "It’s outputting a string of numbers. We ran them. They’re the GPS coordinates of your apartment in Berkeley."

: Because individuals were often arrested multiple times over several years, the data provides valuable "longitudinal" information showing how the same person's face changes over time. Demographics : The subjects range in age from 16 to 77 years

The dataset is notable for its explicit metadata annotations, including . However, the collection is heavily unbalanced, reflecting its origins in law enforcement booking data.

"You sent me a ghost," Elara said, her voice cracking. "That image. It was my mother. Where did you get the source footage? We never cleared her data."

: Heavily male-dominant, with a male-to-female ratio of roughly 5.5:1.

While offers a longer time span (often decades) and includes subjects from childhood through old age, its small number of subjects (only 82) limits statistical power. CACD provides many images of public figures but introduces uncontrolled pose, illumination, and expression variations. MORPH‑II strikes a balance: it provides a moderate longitudinal span with a very large number of subjects , making it ideal for training deep learning models that require extensive data.

The non-commercial version released in 2008 is the standard for academic research. : Approximately 55,134 mugshot images. Unique Subjects : More than 13,000 individuals. Age Range : 16 to 77 years.

The screens went black. The hum of the servers died. The silence in the room was absolute.

The time delay between the earliest and latest photos of a single subject spans from a few months up to several years, with an average span of roughly 2 to 3 years. Why MORPH II is Vital for Computer Vision Research