5,172 Juvenile Face Images – Multi-Race, Multi-Pose Facial Dataset

juvenile face dataset

multi-race face images

youth facial recognition dataset

multi-pose face dataset

diverse face image dataset

teenager face recognition data

facial pose variation dataset

This dataset contains 5,172 juvenile subjects with a diverse racial distribution, including African, Caucasian, and Asian descent. Each subject contruibutes 10 facial images. (The 10 images captured under different lighting conditions, different face poses and different collection environments). This data can be used for facial recognition, demographic diversity analysis, pose-invariant recognition, and fairness testing in AI models.

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Specifications

Data size

5,172 people, each person has 10 images collected from 5 shooting angles, the total number of images is 51,720

Race distribution

1,473 black people, 2,185 Caucasian people, 520 brown people and 994 Indians

Gender distribution

2,684 males, 2,488 females

Age distribution

219 people aged 3, 224 people aged 4, 222 people aged 5, 451 people aged 6, 534 people aged 7, 527 people aged 8, 540 people aged 9, 533 people aged 10, 743 people aged 11, 802 people aged 12, 376 people aged 13, and 1 person aged 14

Collecting environment

including indoor and outdoor scenes

Data diversity

different face poses and races, different ages, different lighting, different collection environments

Device

cellphone

Data format

the image data format is .jpg

Annotation accuracy

the accuracy of labels of face pose, race(country), gender, year and month of birth, collection year are more than 97%

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