"You came," Silas said, not turning around.
Gender, race (Black, White, Asian, Hispanic, Other), and age.
: The full dataset is maintained by the Face Aging Group at the University of North Carolina Wilmington (UNCW) . You must typically apply for access as it requires a license for non-commercial or commercial use.
The MORPH II Dataset: A Comprehensive Overview of the Gold Standard in Facial Age Estimation
The MORPH‑II dataset is without approval. Researchers must: morph ii dataset
The MORPH II dataset, also known as the "MORPH-II" or "MORPH-2" dataset, is a database of facial images collected from various sources, including mugshots, ID cards, and other official documents. The dataset was created to support research in facial recognition, demographic analysis, and facial image processing.
However, the dataset also has some limitations:
The images themselves are grayscale, 8-bit, and vary in resolution (typically between 300x400 and 600x800 pixels). Most were captured using consumer-grade digital cameras in a controlled environment—subjects were asked to face the camera with a neutral expression and no occlusions (e.g., glasses were removed in many instances).
Developed to address the lack of high-quality longitudinal data for aging research, the MORPH II dataset has set the standard for evaluating how facial algorithms handle age progression, gender identification, and ethnic classification. What is the MORPH II Dataset? "You came," Silas said, not turning around
For more information on the latest SOTA results using this dataset, you can explore papers on arXiv or Frontiers in Neuroscience .
But the image on the thermal printer in her hand didn't fade. And as her eyes adjusted to the darkness, she saw the red light of the security camera blink on. Not recording.
dataset is a cornerstone for research in longitudinal facial analysis, primarily used for age estimation, gender classification, and race identification. ResearchGate
Unique identifiers for 13,617 subjects, allowing for longitudinal tracking across 55,134 total images. 2. Pre-computed & Engineered Features You must typically apply for access as it
While the images are generally good quality, they are not strictly controlled, which can introduce variance, though this is often viewed as a benefit for training robust "in-the-wild" models.
The Morph II dataset has numerous applications in:
"The dataset is complete," Silas said, sitting down heavily in his chair. "We have fifty thousand subjects. None of them are real. But to the people watching them, they are more real than the people standing next to them. We succeeded, Elara. We built the perfect lie."