As of 2025, MORPH II is considered "legacy." It is excellent for benchmarking traditional machine learning (SVM, Random Forest) and early CNNs (AlexNet, VGG), but it is too small for training modern billion-parameter models (e.g., FaceNet v2, ArcFace).
Because the images are derived from mugshots (volunteered subjects over multiple arrests or time), the dataset reflects real-world conditions: slight variations in lighting, minor pose changes, and genuine aging, rather than simulated aging. morph ii dataset
Compiled by the in collaboration with the National Institute of Justice (NIJ) , the MORPH II dataset provides a unique, longitudinal look at how human faces change over time. What is the MORPH II Dataset? As of 2025, MORPH II is considered "legacy
Because MORPH II contains mugshots of real individuals who were arrested (presumed innocent until proven guilty), researchers must treat the data with dignity. The creators explicitly prohibit using the dataset to build commercial surveillance systems targeting former inmates. Always cite the original technical report: What is the MORPH II Dataset
The MORPH II dataset is a staple in the computer vision community, frequently used to train and test advanced AI models. 1. Automatic Age Estimation