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:
For scientific validation, the dataset is often divided into "folds" to ensure a similar distribution of age, gender, and ethnicity in both training and testing sets. Fold Allocation morph ii dataset verified
Standardized splits for training and testing (80-10-10) are commonly used to benchmark results in facial age estimation. specific algorithms used to clean these datasets or how to implement the training protocols in Python? arXiv:2007.02684v2 [cs.CV] 19 Sep 2020 specific algorithms used to clean these datasets or
) to test vulnerabilities in Automated Border Control (ABC) systems where one passport might be used by two look-alike individuals. Demographic Accuracy Research Protocols:
It is available in both commercial and non-commercial formats. Research Protocols: