2 datasets found
  1. F

    East Asian Facial Expression Images Dataset

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

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

    Area covered
    East Asia
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the East Asian Facial Expression Image Dataset, meticulously curated to enhance expression recognition models and support the development of advanced biometric identification systems, KYC models, and other facial recognition technologies.

    Facial Expression Data

    This dataset comprises over 2000 facial expression images, divided into participant-wise sets with each set including:

    Expression Images: 5 different high-quality images per individual, each capturing a distinct facial emotion like Happy, Sad, Angry, Shocked, and Neutral.

    Diversity and Representation

    The dataset includes contributions from a diverse network of individuals across East Asian countries, such as:

    Geographical Representation: Participants from East Asian countries, including China, Japan, Philippines, Malaysia, Singapore, Thailand, Vietnam, Indonesia, and more.
    Participant Profile: Participants range from 18 to 70 years old, representing both males and females in 60:40 ratio, respectively.
    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 expression image set is accompanied by detailed metadata for each participant, including:

    Participant Identifier
    File Name
    Age
    Gender
    Country
    Expression
    Demographic Information
    File Format

    This metadata is essential for training models that can accurately recognize and identify expressions across different demographics and conditions.

    Usage and Applications

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

    Expression Recognition Models: Improving the accuracy and reliability of facial expression recognition systems.
    KYC Models: Streamlining the identity verification processes for financial and other services.
    Biometric Identity Systems: Developing robust biometric identification solutions.
    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.
    Participant Consent: All participants were informed of the purpose of collection and potential use of the data, as agreed through written consent.

    Updates and Customization

    We understand the evolving nature of AI and machine learning requirements. Therefore, we continuously add more assets with diverse conditions to this off-the-shelf facial expression dataset.

    Customization & Custom

  2. F

    South Asian Facial Expression Images 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 Facial Expression Images Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-expression-south-asian
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

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

    Area covered
    South Asia
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the South Asian Facial Expression Image Dataset, meticulously curated to enhance expression recognition models and support the development of advanced biometric identification systems, KYC models, and other facial recognition technologies.

    Facial Expression Data

    This dataset comprises over 2000 facial expression images, divided into participant-wise sets with each set including:

    Expression Images: 5 different high-quality images per individual, each capturing a distinct facial emotion like Happy, Sad, Angry, Shocked, and Neutral.

    Diversity and Representation

    The dataset includes contributions from a diverse network of individuals across South Asian countries, such as:

    Geographical Representation: Participants from South Asian countries, including India, Pakistan, Bangladesh, Nepal, Sri Lanka, Bhutan, Maldives, and more.
    Participant Profile: Participants range from 18 to 70 years old, representing both males and females in 60:40 ratio, respectively.
    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 expression image set is accompanied by detailed metadata for each participant, including:

    Participant Identifier
    File Name
    Age
    Gender
    Country
    Expression
    Demographic Information
    File Format

    This metadata is essential for training models that can accurately recognize and identify expressions across different demographics and conditions.

    Usage and Applications

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

    Expression Recognition Models: Improving the accuracy and reliability of facial expression recognition systems.
    KYC Models: Streamlining the identity verification processes for financial and other services.
    Biometric Identity Systems: Developing robust biometric identification solutions.
    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.
    Participant Consent: All participants were informed of the purpose of collection and potential use of the data, as agreed through written consent.

    Updates and Customization

    We understand the evolving nature of AI and machine learning requirements. Therefore, we continuously add more assets with diverse conditions to this off-the-shelf facial expression dataset.

    Customization & Custom Collection

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
FutureBee AI (2022). East Asian Facial Expression Images Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-expression-east-asia

East Asian Facial Expression Images Dataset

Emotion Detection Image Dataset

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

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

Area covered
East Asia
Dataset funded by
FutureBeeAI
Description

Introduction

Welcome to the East Asian Facial Expression Image Dataset, meticulously curated to enhance expression recognition models and support the development of advanced biometric identification systems, KYC models, and other facial recognition technologies.

Facial Expression Data

This dataset comprises over 2000 facial expression images, divided into participant-wise sets with each set including:

Expression Images: 5 different high-quality images per individual, each capturing a distinct facial emotion like Happy, Sad, Angry, Shocked, and Neutral.

Diversity and Representation

The dataset includes contributions from a diverse network of individuals across East Asian countries, such as:

Geographical Representation: Participants from East Asian countries, including China, Japan, Philippines, Malaysia, Singapore, Thailand, Vietnam, Indonesia, and more.
Participant Profile: Participants range from 18 to 70 years old, representing both males and females in 60:40 ratio, respectively.
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 expression image set is accompanied by detailed metadata for each participant, including:

Participant Identifier
File Name
Age
Gender
Country
Expression
Demographic Information
File Format

This metadata is essential for training models that can accurately recognize and identify expressions across different demographics and conditions.

Usage and Applications

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

Expression Recognition Models: Improving the accuracy and reliability of facial expression recognition systems.
KYC Models: Streamlining the identity verification processes for financial and other services.
Biometric Identity Systems: Developing robust biometric identification solutions.
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.
Participant Consent: All participants were informed of the purpose of collection and potential use of the data, as agreed through written consent.

Updates and Customization

We understand the evolving nature of AI and machine learning requirements. Therefore, we continuously add more assets with diverse conditions to this off-the-shelf facial expression dataset.

Customization & Custom

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