This Middle Eastern dataset features 22 facial images per individual, captured over a 10-year span, along with one recent image. It includes rich metadata, making it ideal for age progression, facial recognition, and longitudinal facial analysis research.
Category
Facial Biometric Data
Total volume
5K+ images
Last Updated
July 2025
Number of participants
200+ people
Welcome to the Middle Eastern Multi-Year Facial Image Dataset, thoughtfully curated to support the development of advanced facial recognition systems, biometric identification models, KYC verification tools, and other computer vision applications. This dataset is ideal for training AI models to recognize individuals over time, track facial changes, and enhance age progression capabilities.
This dataset includes over 5,000+ high-quality facial images, organized into individual participant sets, each containing:
To ensure model generalization and practical usability, images in this dataset reflect real-world diversity:
Each participant’s dataset is accompanied by rich metadata to support advanced model training and analysis, including:
This dataset is highly valuable for a wide range of AI and computer vision applications:
To keep pace with evolving AI needs, this dataset is regularly updated and customizable. Custom data collection options include:
This dataset is developed and owned by FutureBeeAI and is available for commercial use.
Facial Recognition
Security & Surveillance
Dataset Sample(s)
Contact us to get the samples immediately for this dataset.
Demographic
Middle Eastern
Countries
Egypt, Jordan ...moreSuadi Arabia, UAE, Tunisia, and more
Volume
5K+ 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
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More in Middle eastern
Selfies and ID card images of Middle Eastern individuals for facial recognition and verification.
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KYC
Middle Eastern facial images showing expressions like happy, sad, angry, surprised, and more.
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Middle Eastern facial images with occlusions like masks, sunglasses, caps, and more.
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