Introduction
Welcome to the Native American 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:
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Historical Images:
22 facial images per participant captured across a span of 10 years
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Enrollment Image:
One recent high-resolution facial image for reference or ground truth
Diversity & Representation
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Geographic Coverage:
Participants from USA, Canada, Mexico and more and other Native American regions
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Demographics:
Individuals aged 18 to 70 years, with a gender distribution of 60% male and 40% female
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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:
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Lighting Conditions:
Images captured under various natural and artificial lighting setups
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Backgrounds:
A wide range of indoor and outdoor backgrounds
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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:
•Age at the time of image capture
Use Cases & Applications
This dataset is highly valuable for a wide range of AI and computer vision applications:
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Facial Recognition Systems:
Train models for high-accuracy face matching across time
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KYC & Identity Verification:
Improve time-spanning verification for banks, insurance, and government services
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Biometric Security Solutions:
Build reliable identity authentication models
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Age Progression & Estimation Models:
Train AI to predict aging patterns or estimate age from facial features
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Generative AI:
Support creation and validation of synthetic age progression or longitudinal face generation
Secure & Ethical Collection
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Platform:
All data was securely collected and processed through FutureBeeAI’s proprietary systems
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Ethical Compliance:
Full participant consent obtained with transparent communication of use cases
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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:
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Capture Environments:
Indoor, outdoor, or controlled background setups
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Lighting Variants:
Morning, afternoon, evening, or night captures
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Resolution Control:
Adjustable as per client requirements
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Annotations:
Facial landmarks, regions, or custom tags available upon request
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Device-Specific Captures:
Data collection on specific brands or OS platforms
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Custom Timelines:
Adjust timeline frequency or add future follow-ups if needed
License
This dataset is developed and owned by FutureBeeAI and is available for commercial use.