2 datasets found
  1. F

    East Asian Children Facial Image Dataset

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). East Asian Children Facial Image Dataset [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

    Area covered
    East Asia
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the East Asian Child Faces Dataset, meticulously curated to enhance face recognition models and support the development of advanced biometric identification systems, child identification models, and other facial recognition technologies.

    Facial Image Data

    This dataset comprises over 5,000 child image sets, divided into participant-wise sets with each set including:

    Facial Images: 15 different high-quality images per child.

    Diversity and Representation

    The dataset includes contributions from a diverse network of children across East Asian countries:

    Geographical Representation: Participants from East Asian countries, including China, Japan, Philippines, Malaysia, Singapore, Thailand, Vietnam, Indonesia, and more.
    Demographics: Participants are children under the age of 18, representing both males and females.
    File Format: The dataset contains images in JPEG and HEIC file format.

    Quality and Conditions

    To ensure high utility and robustness, all images are captured under varying conditions:

    Lighting Conditions: Images are taken in different lighting environments to ensure variability and realism.
    Backgrounds: A variety of backgrounds are available to enhance model generalization.
    Device Quality: Photos are taken using the latest mobile devices to ensure high resolution and clarity.

    Metadata

    Each facial image set is accompanied by detailed metadata for each participant, including:

    Participant Identifier
    File Name
    Age
    Gender
    Country
    Demographic Information
    File Format

    This metadata is essential for training models that can accurately recognize and identify children's faces across different demographics and conditions.

    Usage and Applications

    This facial image dataset is ideal for various applications in the field of computer vision, including but not limited to:

    Facial Recognition Models: Improving the accuracy and reliability of facial recognition systems.
    KYC Models: Streamlining the identity verification processes for financial and other services.
    Biometric Identity Systems: Developing robust biometric identification solutions.
    Child Identification Models: Training models to accurately identify children in various scenarios.
    Age Prediction Models: Training models to accurately predict the age of minors based on facial features.
    Generative AI Models: Training generative AI models to create realistic and diverse synthetic facial images.

    Secure and Ethical Collection

    Data Security: Data was securely stored and processed within our platform, ensuring data security and confidentiality.
    Ethical Guidelines: The biometric data collection process adhered to strict ethical guidelines, ensuring the privacy and consent of all participants’ guardians.
    Participant Consent: The guardians were informed of the purpose of collection and potential use of the data, as agreed through written consent.
    <h3

  2. F

    South Asian Children Facial Image Dataset

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    FutureBee AI (2022). South Asian Children Facial Image Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-minor-south-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

    Area covered
    South Asia
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the South Asian Child Faces Dataset, meticulously curated to enhance face recognition models and support the development of advanced biometric identification systems, child identification models, and other facial recognition technologies.

    Facial Image Data

    This dataset comprises over 5,000 child image sets, divided into participant-wise sets with each set including:

    Facial Images: 15 different high-quality images per child.

    Diversity and Representation

    The dataset includes contributions from a diverse network of children across South Asian countries:

    Geographical Representation: Participants from South Asian countries, including India, Pakistan, Bangladesh, Nepal, Sri Lanka, Bhutan, Maldives, and more.
    Demographics: Participants are children under the age of 18, representing both males and females.
    File Format: The dataset contains images in JPEG and HEIC file format.

    Quality and Conditions

    To ensure high utility and robustness, all images are captured under varying conditions:

    Lighting Conditions: Images are taken in different lighting environments to ensure variability and realism.
    Backgrounds: A variety of backgrounds are available to enhance model generalization.
    Device Quality: Photos are taken using the latest mobile devices to ensure high resolution and clarity.

    Metadata

    Each facial image set is accompanied by detailed metadata for each participant, including:

    Participant Identifier
    File Name
    Age
    Gender
    Country
    Demographic Information
    File Format

    This metadata is essential for training models that can accurately recognize and identify children's faces across different demographics and conditions.

    Usage and Applications

    This facial image dataset is ideal for various applications in the field of computer vision, including but not limited to:

    Facial Recognition Models: Improving the accuracy and reliability of facial recognition systems.
    KYC Models: Streamlining the identity verification processes for financial and other services.
    Biometric Identity Systems: Developing robust biometric identification solutions.
    Child Identification Models: Training models to accurately identify children in various scenarios.
    Age Prediction Models: Training models to accurately predict the age of minors based on facial features.
    Generative AI Models: Training generative AI models to create realistic and diverse synthetic facial images.

    Secure and Ethical Collection

    Data Security: Data was securely stored and processed within our platform, ensuring data security and confidentiality.
    Ethical Guidelines: The biometric data collection process adhered to strict ethical guidelines, ensuring the privacy and consent of all participants’ guardians.
    Participant Consent: The guardians were informed of the purpose of collection and potential use of the data, as agreed through written consent.
    <h3

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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 [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-minor-east-asian

East Asian Children Facial Image Dataset

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

Area covered
East Asia
Dataset funded by
FutureBeeAI
Description

Introduction

Welcome to the East Asian Child Faces Dataset, meticulously curated to enhance face recognition models and support the development of advanced biometric identification systems, child identification models, and other facial recognition technologies.

Facial Image Data

This dataset comprises over 5,000 child image sets, divided into participant-wise sets with each set including:

Facial Images: 15 different high-quality images per child.

Diversity and Representation

The dataset includes contributions from a diverse network of children across East Asian countries:

Geographical Representation: Participants from East Asian countries, including China, Japan, Philippines, Malaysia, Singapore, Thailand, Vietnam, Indonesia, and more.
Demographics: Participants are children under the age of 18, representing both males and females.
File Format: The dataset contains images in JPEG and HEIC file format.

Quality and Conditions

To ensure high utility and robustness, all images are captured under varying conditions:

Lighting Conditions: Images are taken in different lighting environments to ensure variability and realism.
Backgrounds: A variety of backgrounds are available to enhance model generalization.
Device Quality: Photos are taken using the latest mobile devices to ensure high resolution and clarity.

Metadata

Each facial image set is accompanied by detailed metadata for each participant, including:

Participant Identifier
File Name
Age
Gender
Country
Demographic Information
File Format

This metadata is essential for training models that can accurately recognize and identify children's faces across different demographics and conditions.

Usage and Applications

This facial image dataset is ideal for various applications in the field of computer vision, including but not limited to:

Facial Recognition Models: Improving the accuracy and reliability of facial recognition systems.
KYC Models: Streamlining the identity verification processes for financial and other services.
Biometric Identity Systems: Developing robust biometric identification solutions.
Child Identification Models: Training models to accurately identify children in various scenarios.
Age Prediction Models: Training models to accurately predict the age of minors based on facial features.
Generative AI Models: Training generative AI models to create realistic and diverse synthetic facial images.

Secure and Ethical Collection

Data Security: Data was securely stored and processed within our platform, ensuring data security and confidentiality.
Ethical Guidelines: The biometric data collection process adhered to strict ethical guidelines, ensuring the privacy and consent of all participants’ guardians.
Participant Consent: The guardians were informed of the purpose of collection and potential use of the data, as agreed through written consent.
<h3

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