3 datasets found
  1. F

    East Asian Multi-Year Facial Image Dataset

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). East Asian Multi-Year Facial Image Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-historical-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

    Welcome to the East Asian 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.

    Facial Image Data

    This dataset includes over 10,000+ high-quality facial images, organized into individual participant sets, each containing:

    Historical Images: 22 facial images per participant captured across a span of 10 years
    Enrollment Image: One recent high-resolution facial image for reference or ground truth

    Diversity & Representation

    Geographic Coverage: Participants from China, Japan, Philippines, Malaysia, Singapore, Thailand, Vietnam, Indonesia, and more and other East Asian regions
    Demographics: Individuals aged 18 to 70 years, with a gender distribution of 60% male and 40% female
    File Formats: All images are available in JPEG and HEIC formats

    Image Quality & Capture Conditions

    To ensure model generalization and practical usability, images in this dataset reflect real-world diversity:

    Lighting Conditions: Images captured under various natural and artificial lighting setups
    Backgrounds: A wide range of indoor and outdoor backgrounds
    Device Quality: Captured using modern, high-resolution mobile devices for consistency and clarity

    Metadata

    Each participant’s dataset is accompanied by rich metadata to support advanced model training and analysis, including:

    Unique participant ID
    File name
    Age at the time of image capture
    Gender
    Country of origin
    Demographic profile
    File format

    Use Cases & Applications

    This dataset is highly valuable for a wide range of AI and computer vision applications:

    Facial Recognition Systems: Train models for high-accuracy face matching across time
    KYC & Identity Verification: Improve time-spanning verification for banks, insurance, and government services
    Biometric Security Solutions: Build reliable identity authentication models
    Age Progression & Estimation Models: Train AI to predict aging patterns or estimate age from facial features
    Generative AI: Support creation and validation of synthetic age progression or longitudinal face generation

    Secure & Ethical Collection

    Platform: All data was securely collected and processed through FutureBeeAI’s proprietary systems
    Ethical Compliance: Full participant consent obtained with transparent communication of use cases
    Privacy-Protected: No personally identifiable information is included; all data is anonymized and handled with care

    Dataset Updates & Customization

    To keep pace with evolving AI needs, this dataset is regularly updated and customizable. Custom data collection options include:

    <div style="margin-top:10px;

  2. F

    Middle Eastern Multi-Year Facial Image Dataset

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    Share
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    FutureBee AI (2022). Middle Eastern Multi-Year Facial Image Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-historical-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

    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.

    Facial Image Data

    This dataset includes over 5,000+ high-quality facial images, organized into individual participant sets, each containing:

    Historical Images: 22 facial images per participant captured across a span of 10 years
    Enrollment Image: One recent high-resolution facial image for reference or ground truth

    Diversity & Representation

    Geographic Coverage: Participants from Egypt, Jordan, Suadi Arabia, UAE, Tunisia, and more and other Middle Eastern regions
    Demographics: Individuals aged 18 to 70 years, with a gender distribution of 60% male and 40% female
    File Formats: All images are available in JPEG and HEIC formats

    Image Quality & Capture Conditions

    To ensure model generalization and practical usability, images in this dataset reflect real-world diversity:

    Lighting Conditions: Images captured under various natural and artificial lighting setups
    Backgrounds: A wide range of indoor and outdoor backgrounds
    Device Quality: Captured using modern, high-resolution mobile devices for consistency and clarity

    Metadata

    Each participant’s dataset is accompanied by rich metadata to support advanced model training and analysis, including:

    Unique participant ID
    File name
    Age at the time of image capture
    Gender
    Country of origin
    Demographic profile
    File format

    Use Cases & Applications

    This dataset is highly valuable for a wide range of AI and computer vision applications:

    Facial Recognition Systems: Train models for high-accuracy face matching across time
    KYC & Identity Verification: Improve time-spanning verification for banks, insurance, and government services
    Biometric Security Solutions: Build reliable identity authentication models
    Age Progression & Estimation Models: Train AI to predict aging patterns or estimate age from facial features
    Generative AI: Support creation and validation of synthetic age progression or longitudinal face generation

    Secure & Ethical Collection

    Platform: All data was securely collected and processed through FutureBeeAI’s proprietary systems
    Ethical Compliance: Full participant consent obtained with transparent communication of use cases
    Privacy-Protected: No personally identifiable information is included; all data is anonymized and handled with care

    Dataset Updates & Customization

    To keep pace with evolving AI needs, this dataset is regularly updated and customizable. Custom data collection options include:

    <div style="margin-top:10px; margin-bottom: 10px; padding-left: 30px;

  3. F

    South Asian Multi-Year 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 Multi-Year Facial Image Dataset [Dataset]. https://www.futurebeeai.com/dataset/image-dataset/facial-images-historical-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 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.

    Facial Image Data

    This dataset includes over 10,000+ high-quality facial images, organized into individual participant sets, each containing:

    Historical Images: 22 facial images per participant captured across a span of 10 years
    Enrollment Image: One recent high-resolution facial image for reference or ground truth

    Diversity & Representation

    Geographic Coverage: Participants from India, Pakistan, Bangladesh, Nepal, Sri Lanka, Bhutan, Maldives, and more and other South Asian regions
    Demographics: Individuals aged 18 to 70 years, with a gender distribution of 60% male and 40% female
    File Formats: All images are available in JPEG and HEIC formats

    Image Quality & Capture Conditions

    To ensure model generalization and practical usability, images in this dataset reflect real-world diversity:

    Lighting Conditions: Images captured under various natural and artificial lighting setups
    Backgrounds: A wide range of indoor and outdoor backgrounds
    Device Quality: Captured using modern, high-resolution mobile devices for consistency and clarity

    Metadata

    Each participant’s dataset is accompanied by rich metadata to support advanced model training and analysis, including:

    Unique participant ID
    File name
    Age at the time of image capture
    Gender
    Country of origin
    Demographic profile
    File format

    Use Cases & Applications

    This dataset is highly valuable for a wide range of AI and computer vision applications:

    Facial Recognition Systems: Train models for high-accuracy face matching across time
    KYC & Identity Verification: Improve time-spanning verification for banks, insurance, and government services
    Biometric Security Solutions: Build reliable identity authentication models
    Age Progression & Estimation Models: Train AI to predict aging patterns or estimate age from facial features
    Generative AI: Support creation and validation of synthetic age progression or longitudinal face generation

    Secure & Ethical Collection

    Platform: All data was securely collected and processed through FutureBeeAI’s proprietary systems
    Ethical Compliance: Full participant consent obtained with transparent communication of use cases
    Privacy-Protected: No personally identifiable information is included; all data is anonymized and handled with care

    Dataset Updates & Customization

    To keep pace with evolving AI needs, this dataset is regularly updated and customizable. Custom data collection options include:

    <div style="margin-top:10px; margin-bottom: 10px;

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

East Asian Multi-Year Facial Image Dataset

Human Past 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

Welcome to the East Asian 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.

Facial Image Data

This dataset includes over 10,000+ high-quality facial images, organized into individual participant sets, each containing:

Historical Images: 22 facial images per participant captured across a span of 10 years
Enrollment Image: One recent high-resolution facial image for reference or ground truth

Diversity & Representation

Geographic Coverage: Participants from China, Japan, Philippines, Malaysia, Singapore, Thailand, Vietnam, Indonesia, and more and other East Asian regions
Demographics: Individuals aged 18 to 70 years, with a gender distribution of 60% male and 40% female
File Formats: All images are available in JPEG and HEIC formats

Image Quality & Capture Conditions

To ensure model generalization and practical usability, images in this dataset reflect real-world diversity:

Lighting Conditions: Images captured under various natural and artificial lighting setups
Backgrounds: A wide range of indoor and outdoor backgrounds
Device Quality: Captured using modern, high-resolution mobile devices for consistency and clarity

Metadata

Each participant’s dataset is accompanied by rich metadata to support advanced model training and analysis, including:

Unique participant ID
File name
Age at the time of image capture
Gender
Country of origin
Demographic profile
File format

Use Cases & Applications

This dataset is highly valuable for a wide range of AI and computer vision applications:

Facial Recognition Systems: Train models for high-accuracy face matching across time
KYC & Identity Verification: Improve time-spanning verification for banks, insurance, and government services
Biometric Security Solutions: Build reliable identity authentication models
Age Progression & Estimation Models: Train AI to predict aging patterns or estimate age from facial features
Generative AI: Support creation and validation of synthetic age progression or longitudinal face generation

Secure & Ethical Collection

Platform: All data was securely collected and processed through FutureBeeAI’s proprietary systems
Ethical Compliance: Full participant consent obtained with transparent communication of use cases
Privacy-Protected: No personally identifiable information is included; all data is anonymized and handled with care

Dataset Updates & Customization

To keep pace with evolving AI needs, this dataset is regularly updated and customizable. Custom data collection options include:

<div style="margin-top:10px;

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