2 datasets found
  1. F

    East Asian Children Facial Image Dataset for Facial Recognition

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). East Asian Children Facial Image Dataset for Facial Recognition [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-minor-east-asian
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The East Asian Children Facial Image Dataset is a thoughtfully curated collection designed to support the development of advanced facial recognition systems, biometric identity verification, age estimation tools, and child-specific AI models. This dataset enables researchers and developers to build highly accurate, inclusive, and ethically sourced AI solutions for real-world applications.

    Facial Image Data

    The dataset includes over 1500 high-resolution image sets of children under the age of 18. Each participant contributes approximately 15 unique facial images, captured to reflect natural variations in appearance and context.

    Diversity and Representation

    •
    Geographic Coverage: Children from China, Japan, Philippines, Malaysia, Singapore, Thailand, Vietnam, Indonesia, and more
    •
    Age Group: All participants are minors, with a wide age spread across childhood and adolescence.
    •
    Gender Balance: Includes both boys and girls, representing a balanced gender distribution.
    •
    File Formats: Images are available in JPEG and HEIC formats.

    Quality and Image Conditions

    To ensure robust model training and generalizability, images are captured under varied natural conditions:

    •
    Lighting: A mix of lighting setups, including indoor, outdoor, bright, and low-light scenarios.
    •
    Backgrounds: Diverse backgrounds—plain, natural, and everyday environments—are included to promote realism.
    •
    Capture Devices: All photos are taken using modern mobile devices, ensuring high resolution and sharp detail.

    Metadata

    Each child’s image set is paired with detailed, structured metadata, enabling granular control and filtering during model training:

    •Unique Participant ID
    •File Name
    •Age
    •Gender
    •Country
    •Demographic Attributes
    •File Format

    This metadata is essential for applications that require demographic awareness, such as region-specific facial recognition or bias mitigation in AI models.

    Applications

    This dataset is ideal for a wide range of computer vision use cases, including:

    •
    Facial Recognition: Improving identification accuracy across diverse child demographics.
    •
    KYC and Identity Verification: Enabling more inclusive onboarding processes for child-specific platforms.
    •
    Biometric Systems: Supporting child-focused identity verification in education, healthcare, or travel.
    •
    Age Estimation: Training AI models to estimate age ranges of children from facial features.
    •
    Child Safety Models: Assisting in missing child identification or online content moderation.
    •
    Generative AI Training: Creating more representative synthetic data using real-world diverse inputs.

    Ethical Collection and Data Security

    We maintain the highest ethical and security standards throughout the data lifecycle:

    •
    Guardian Consent: Every participant’s guardian provided informed, written consent, clearly outlining the dataset’s use cases.
    •
    Privacy-First Approach: Personally identifiable information is not shared. Only anonymized metadata is included.
    •
    Secure Storage:

  2. F

    Middle Eastern Children Facial Image Dataset for Facial Recognition

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    Share
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    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). Middle Eastern Children Facial Image Dataset for Facial Recognition [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-minor-middle-eastern
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The Middle Eastern Children Facial Image Dataset is a thoughtfully curated collection designed to support the development of advanced facial recognition systems, biometric identity verification, age estimation tools, and child-specific AI models. This dataset enables researchers and developers to build highly accurate, inclusive, and ethically sourced AI solutions for real-world applications.

    Facial Image Data

    The dataset includes over 1000 high-resolution image sets of children under the age of 18. Each participant contributes approximately 15 unique facial images, captured to reflect natural variations in appearance and context.

    Diversity and Representation

    •
    Geographic Coverage: Children from Egypt, Jordan, Suadi Arabia, UAE, Tunisia, and more
    •
    Age Group: All participants are minors, with a wide age spread across childhood and adolescence.
    •
    Gender Balance: Includes both boys and girls, representing a balanced gender distribution.
    •
    File Formats: Images are available in JPEG and HEIC formats.

    Quality and Image Conditions

    To ensure robust model training and generalizability, images are captured under varied natural conditions:

    •
    Lighting: A mix of lighting setups, including indoor, outdoor, bright, and low-light scenarios.
    •
    Backgrounds: Diverse backgrounds—plain, natural, and everyday environments—are included to promote realism.
    •
    Capture Devices: All photos are taken using modern mobile devices, ensuring high resolution and sharp detail.

    Metadata

    Each child’s image set is paired with detailed, structured metadata, enabling granular control and filtering during model training:

    •Unique Participant ID
    •File Name
    •Age
    •Gender
    •Country
    •Demographic Attributes
    •File Format

    This metadata is essential for applications that require demographic awareness, such as region-specific facial recognition or bias mitigation in AI models.

    Applications

    This dataset is ideal for a wide range of computer vision use cases, including:

    •
    Facial Recognition: Improving identification accuracy across diverse child demographics.
    •
    KYC and Identity Verification: Enabling more inclusive onboarding processes for child-specific platforms.
    •
    Biometric Systems: Supporting child-focused identity verification in education, healthcare, or travel.
    •
    Age Estimation: Training AI models to estimate age ranges of children from facial features.
    •
    Child Safety Models: Assisting in missing child identification or online content moderation.
    •
    Generative AI Training: Creating more representative synthetic data using real-world diverse inputs.

    Ethical Collection and Data Security

    We maintain the highest ethical and security standards throughout the data lifecycle:

    •
    Guardian Consent: Every participant’s guardian provided informed, written consent, clearly outlining the dataset’s use cases.
    •
    Privacy-First Approach: Personally identifiable information is not shared. Only anonymized metadata is included.
    •
    Secure Storage: <span style="font-weight:

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
FutureBee AI (2022). East Asian Children Facial Image Dataset for Facial Recognition [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-minor-east-asian

East Asian Children Facial Image Dataset for Facial Recognition

Minor and Kids Image Dataset

Explore at:
wavAvailable download formats
Dataset updated
Aug 1, 2022
Dataset provided by
FutureBeeAI
Authors
FutureBee AI
License

https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

Dataset funded by
FutureBeeAI
Description

Introduction

The East Asian Children Facial Image Dataset is a thoughtfully curated collection designed to support the development of advanced facial recognition systems, biometric identity verification, age estimation tools, and child-specific AI models. This dataset enables researchers and developers to build highly accurate, inclusive, and ethically sourced AI solutions for real-world applications.

Facial Image Data

The dataset includes over 1500 high-resolution image sets of children under the age of 18. Each participant contributes approximately 15 unique facial images, captured to reflect natural variations in appearance and context.

Diversity and Representation

•
Geographic Coverage: Children from China, Japan, Philippines, Malaysia, Singapore, Thailand, Vietnam, Indonesia, and more
•
Age Group: All participants are minors, with a wide age spread across childhood and adolescence.
•
Gender Balance: Includes both boys and girls, representing a balanced gender distribution.
•
File Formats: Images are available in JPEG and HEIC formats.

Quality and Image Conditions

To ensure robust model training and generalizability, images are captured under varied natural conditions:

•
Lighting: A mix of lighting setups, including indoor, outdoor, bright, and low-light scenarios.
•
Backgrounds: Diverse backgrounds—plain, natural, and everyday environments—are included to promote realism.
•
Capture Devices: All photos are taken using modern mobile devices, ensuring high resolution and sharp detail.

Metadata

Each child’s image set is paired with detailed, structured metadata, enabling granular control and filtering during model training:

•Unique Participant ID
•File Name
•Age
•Gender
•Country
•Demographic Attributes
•File Format

This metadata is essential for applications that require demographic awareness, such as region-specific facial recognition or bias mitigation in AI models.

Applications

This dataset is ideal for a wide range of computer vision use cases, including:

•
Facial Recognition: Improving identification accuracy across diverse child demographics.
•
KYC and Identity Verification: Enabling more inclusive onboarding processes for child-specific platforms.
•
Biometric Systems: Supporting child-focused identity verification in education, healthcare, or travel.
•
Age Estimation: Training AI models to estimate age ranges of children from facial features.
•
Child Safety Models: Assisting in missing child identification or online content moderation.
•
Generative AI Training: Creating more representative synthetic data using real-world diverse inputs.

Ethical Collection and Data Security

We maintain the highest ethical and security standards throughout the data lifecycle:

•
Guardian Consent: Every participant’s guardian provided informed, written consent, clearly outlining the dataset’s use cases.
•
Privacy-First Approach: Personally identifiable information is not shared. Only anonymized metadata is included.
•
Secure Storage:

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