Middle Eastern Selfie & ID Card Image Dataset

This dataset features diverse facial images of Middle Eastern 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

10K+ images

Last Updated

July 2025

Number of participants

1.5K+ people

Image data for Facial Identification
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About This OTS Dataset

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Introduction

Welcome to the Middle Eastern 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.

Facial Image Data

The dataset contains over 1500 facial image sets of Middle Eastern individuals. Each set includes:

  • Selfie Images: 5 high-quality selfie images taken under different conditions
  • ID Card Images: 2 clear facial images extracted from different government-issued ID cards
  • Diversity & Representation

  • Geographic Diversity: Participants represent Middle Eastern countries including Egypt, Jordan, Suadi Arabia, UAE, Tunisia, and more
  • Demographics: Individuals aged 18 to 70 years with a 60:40 male-to-female ratio
  • File Formats: Images are provided in JPEG and HEIC formats for compatibility and quality retention
  • Image Quality & Capture Conditions

    All images were captured with real-world variability to enhance dataset robustness:

  • Lighting: Captured under diverse lighting setups to simulate real environments
  • Backgrounds: A wide variety of indoor and outdoor backgrounds
  • Device Quality: Captured using modern smartphones to ensure high resolution and clarity
  • Metadata

    Each participant’s data is accompanied by rich metadata to support AI model training, including:

  • Unique participant ID
  • Image file names
  • Age at the time of capture
  • Gender
  • Country of origin
  • Demographic details
  • File format information
  • This metadata enables targeted filtering and training across diverse scenarios.

    Use Cases & Applications

    This dataset is ideal for a wide range of AI and biometric applications:

  • Facial Recognition: Train accurate and generalizable face matching models
  • KYC & Identity Verification: Enhance onboarding and compliance systems in fintech and government services
  • Biometric Identification: Build secure facial recognition systems for access control and identity authentication
  • Age Prediction: Train models to estimate age from facial features
  • Generative AI: Provide reference data for synthetic face generation or augmentation tasks
  • Secure & Ethical Collection

  • Data Security: All images were securely stored and processed on FutureBeeAI’s proprietary platform
  • Ethical Compliance: Data collection was conducted in full alignment with privacy laws and ethical standards
  • Informed Consent: Every participant provided written consent, with full awareness of the intended uses of the data
  • Dataset Updates & Customization

    To meet evolving AI demands, this dataset is regularly updated and can be customized. Available options include:

  • Capture Environments: Indoor or outdoor backgrounds based on request
  • Lighting Conditions: Daylight, evening, artificial, or low-light setups
  • Time of Day: Morning, afternoon, evening, or night image capture
  • Resolution: Custom resolutions based on model requirements
  • Annotation Options: Facial landmarks, segmentation, boundaries, or custom tags available on request
  • Device-Specific Data: Capture data using specific mobile brands or operating systems
  • License

    This dataset is developed by FutureBeeAI and is available for commercial use.

    Use Cases

    Use of human image datasets in image recognition

    Facial Recognition

    Use of human image datasets in KYC

    KYC

    Use of human image datasets in Biometric Identification

    Biometric Identification

    Use of human image datasets in Smart Retail

    Smart Retail

    Use of human image datasets in Security & Surveillance

    Security & Surveillance

    Dataset Details

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    Demographic

    Middle Eastern

    Countries

    Egypt, Jordan ...more

    Volume

    10K+ images

    Gender Distribution

    M:60, F:40

    Age Group

    18-70 Years

    File Details

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    Environment

    Indoor & Outdoor

    Format

    JPEG, HEIC

    Device

    Android & iOS

    Minimum Resolution

    480p

    Annotation

    NA

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