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UNCW professor Dr. Karl Ricanek (right) works with his team of research associates Ben Barbour and Amrutha Sethuram developing and creating software to help with facial recognition for government bureaus such as the FBI.
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MORPH

The MORPH Longitudinal Database is the largest longitudinal facial recognition database in the world. Available in a variety of sizes and formats to fit any use case, the longitudinal database has images of people of different races and genders over time, complete with extensive metadata. MORPH datasets are commonly used for AI and machine learning training, facial recognition research, and a wide range of other technological applications. Explore our products below. 

MORPH Products

MORPH Multimedia

MORPH Multimedia is a de novo dataset comprising high-resolution images from multiple angles, providing a comprehensive view of the facial expressions of 3,000+ subjects. The dataset spans a wide range of racial and ethnic groups, biological sexes, ages and extensive metadata.

MORPH Multimedia PLUS+

MORPH Multimedia Plus contains the same images as MORPH Multimedia, but also includes videos and mobile captures of subjects, further enhancing the dataset’s ability to support a wide range of use cases.

MORPH 4

The MORPH 4 dataset comprises 402,055 images from 67,600 subjects. MORPH’s diverse range of ancestry includes subjects of African, Asian, European, Hispanic, Indian, and Caucasian descent, spanning from ages 18-89. The dataset can help overcome algorithmic bias by its diversity of subjects and inclusion of robust data, such as height and weight. The dataset contains metadata for age, gender, race, height, weight and eye coordinates.

MORPH 5

The MORPH 5 dataset shares the same benefits as MORPH 4, with an additional 100,000+ images and 40,000+ subjects. MORPH 5 comprises 521,589 images from 106,649 subjects, making it one of the largest facial recognition databases in the world.