This dataset features diverse facial images of African individuals, including five unique selfies and two face images extracted from ID cards per person. It also comes with rich metadata, making it ideal for training and evaluating facial recognition and identity verification systems.
Category
Facial Biometric Data
Total volume
14K+ images
Last Updated
July 2025
Number of participants
2K+ people
Welcome to the African Human Facial Images Dataset, curated to advance facial recognition technology and support the development of secure biometric identity systems, KYC verification processes, and AI-driven computer vision applications. This dataset is designed to serve as a robust foundation for real-world face matching and recognition use cases.
The dataset contains over 2,000 facial image sets of African individuals. Each set includes:
All images were captured with real-world variability to enhance dataset robustness:
Each participant’s data is accompanied by rich metadata to support AI model training, including:
This metadata enables targeted filtering and training across diverse scenarios.
This dataset is ideal for a wide range of AI and biometric applications:
To meet evolving AI demands, this dataset is regularly updated and can be customized. Available options include:
This dataset is developed by FutureBeeAI and is available for commercial use.
Facial Recognition
KYC
Biometric Identification
Smart Retail
Security & Surveillance
Demographic
African
Countries
Kenya, Malawi ...moreNigeria, Ethiopia, Benin, Somalia, Uganda, and many more
Volume
14K+ images
Gender Distribution
M:60, F:40
Age Group
18-70 Years
Environment
Indoor & Outdoor
Format
JPEG, HEIC
Device
Android & iOS
Minimum Resolution
480p
Annotation
NA
Download Sample Dataset
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