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Face Recognition Dataset – 10,109 People with Multi-angle Face Images and Demographic Labels

face recognition dataset
face image dataset
demographic face data
age gender race face dataset
face dataset for AI
face clustering dataset
multi-ethnic face images
large-scale face dataset
human face dataset

This large-scale face image dataset features 10,109 individuals from various countries and ethnic backgrounds. Each subject has been captured in multiple real-world scenarios, resulting in diverse facial images under varying angles, lighting conditions, and expressions. Detailed annotations include gender, race, and age, making the dataset suitable for tasks such as facial recognition, face clustering, demographic analysis, and machine learning model training.The dataset has been validated by multiple AI companies and proven to deliver strong performance in real-world applications. All data collection, storage, and processing strictly adhere to global data protection regulations, including GDPR, CCPA, and PIPL, ensuring legal compliance and privacy preservation.

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SpecificationsSpecifications
Data size
10,109 people, no less than 30 images per person
Race distribution
3,504 black people, 3,559 Indian people and 3,046 Asian people
Gender distribution
4,930 males, 5,179 females
Age distribution
most people are young aged, the middle-aged and the elderly cover a small portion
Collecting environment
including indoor and outdoor scenes
Data diversity
different face poses, races, accessories, ages, light conditions and scenes
Data format
.jpg, .png, .jpeg
Sample Sample
  • Face Recognition Dataset – 10,109 People with Multi-angle Face Images and Demographic Labels
  • Face Recognition Dataset – 10,109 People with Multi-angle Face Images and Demographic Labels
  • Face Recognition Dataset – 10,109 People with Multi-angle Face Images and Demographic Labels
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