University of North Carolina Wilmington
University of North Carolina Wilmington

Office of Innovation & Commercialization

MORPH Facial Recognition Database

Licensing Options:

The MORPH Longitudinal Database is the largest longitudinal facial recognition database in the world and was recently doubled in size! The longitudinal aspect of the database indicates that there are numerous images of a given subject, over time. The database is licensed for commercial and developmental uses. The MORPH Longitudinal Database contains 400,000+ images of nearly 70,000 subjects. The images are 8-bit color, and sizes may vary. The MORPH Longitudinal datasets have descriptive statistics associated with the variables included therein. The datasets contain metadata for age, gender, race, height, weight, and eye coordinates. Please, review this webpage for licensing options. To request pricing and a license agreement, or if you have additional questions, please submit the "Contact Us" form found on this page. We will respond promptly. A general breakdown of the MORPH dataset can be found here. 

Additionally, there is a non-commercial, Academic MORPH Database available here for use by academic institutions. The Academic MORPH Database is not available to be customized.

MORPH longitudinal image example.


Commercial Applications and Value Propositions

  • Training for facial recognition systems- Exceptional applications in artificial intelligence and machine learning.
  • Facial Analytics- Exceptional applications in facial identification, recognition, and verification.
  • Industry application in security, healthcare, banking, digital media, software development, and avatars.
  • Longitudinal Aspect of the dataset- The over 30,000 subjects each with 4+ images over a 10 year span.
  • Combat algorithm bias- The diversity of subjects, including the high number of certain ethnicities that other datasets are missing.
  • Dataset Size- The sheer number of images, makes MORPH a good base for a new system, as well as a valuable resource to evaluate and tune existing systems.


Inventor Links

Dr. Karl Ricanek Jr.




Please, click here for the academic research version of MORPH!

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