Morph Ii Dataset !!install!!

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MORPH-II comprises of 13,617 unique individuals . The photographs were taken between 2003 and late 2007. This longitudinal span—while only about five years long—is valuable because it captures repeat offenders who were arrested multiple times during that period, providing a longitudinal aspect that is rare in publicly available face databases. On average, there are approximately four images per subject , though some individuals appear many more times, allowing for effective observation of facial changes over time. morph ii dataset

: Each image includes labels for age, gender, race, height, and weight . 2. Preprocessing & Cleaning This public link is valid for 7 days

MORPH-II has been widely used in:

The exact age of the subject at the time the photo was taken. Gender: Male or female classification. Race: Categorized racial background. Can’t copy the link right now

Because the dataset is predominantly composed of Black and White male subjects, models trained exclusively on MORPH II can suffer from algorithmic bias. A model optimized on MORPH II may perform exceptionally well on those specific demographics but show a significant drop in accuracy when estimating the age or verifying the identity of women, Asian individuals, or elderly populations. Modern researchers often cross-train or fine-tune their models with other datasets to mitigate this imbalance. Image Quality and Uncontrolled Environments

The research fueled by the MORPH II dataset extends far beyond academic computer vision papers. It directly influences commercial technology and public safety infrastructure: