Morph - Ii Dataset

For classical machine learning approaches (like SVMs or Regressors), specific visual descriptors are often extracted:

Given a single face, how old is the person? Morph II’s precise age labels have made it a benchmark for age estimation regression tasks. Models trained on Morph II can predict chronological age with mean absolute errors (MAE) as low as 2.5–3 years—a remarkable feat given the dataset's challenges. morph ii dataset

Samples and index labels (age/gender CSVs) can sometimes be found on platforms like Kaggle . arXiv:2007.02684v2 [cs.CV] 19 Sep 2020 For classical machine learning approaches (like SVMs or

The non-commercial version released in 2008 is the standard for academic research. : Approximately 55,134 mugshot images. Unique Subjects : More than 13,000 individuals. Age Range : 16 to 77 years. Samples and index labels (age/gender CSVs) can sometimes

Includes a diverse range of ethnicities (primarily Black and White) and genders. Age Range: Subjects range from 16 to 77 years old. Average Images per Subject: Roughly 4 photos per person. Why is MORPH II Important?

The dataset includes a diverse range of subjects across different ethnicities, including African, European, Asian, and Hispanic. Age Range: Subjects range from 16 to 77 years old Attributes: