Morph Ii Dataset Verified

The MORPH II dataset is a cornerstone in biometric research, particularly for longitudinal studies in facial recognition and age estimation. While often cited for its scale, achieving a verified or "cleaned" version of this data is a critical task for researchers due to inherent inconsistencies in the original raw collection. Overview of the MORPH II Dataset

3.4. No Verification of "Age Progression Ground Truth" in Longitudinal Sense

While each age label is verified, the difference between two images of the same person may not perfectly represent true aging if the images were taken under different conditions (e.g., one with a neutral expression, another with a smile). Verified ages do not guarantee that the facial changes are purely age-related. morph ii dataset verified

used for age estimation on this dataset or see details on the subsetting protocols AI responses may include mistakes. Learn more arXiv:2007.02684v2 [cs.CV] 19 Sep 2020 The MORPH II dataset is a cornerstone in

• Ricanek, K., et al. (2006). The MORPH-II dataset: A large collection of facial images for demographic analysis. Proceedings of the 2006 IEEE International Conference on Automatic Face and Gesture Recognition, 231-236.
• Wang, Y., et al. (2013). An analysis of the MORPH-II dataset for facial recognition. Proceedings of the 2013 IEEE International Conference on Biometrics, 1-8.
• O'Toole, A. J., et al. (2017). Demographic effects on facial recognition: A review. IEEE Transactions on Information Forensics and Security, 12(10), 2311-2323.

New evaluation schemes help overcome the original's unbalanced racial and gender distributions. Dataset Composition Total Images ~55,134 unique samples ~13,000 unique individuals 16 to 77 years Demographics Includes African, European, Asian, and Hispanic subjects Images captured between 2003 and 2007 How to Access the Data The MORPH-II dataset is managed by the UNCW Office of Innovation and Commercialization Official Portal: You must apply for access through the UNCW MORPH Technology Portfolio Licensing: Ricanek, K