Introduction
The Selfies & ID Photos Face Recognition Dataset is a comprehensive, enterprise-grade collection designed for training robust face recognition, identity verification, and KYC systems. With 10-15 high-quality images per person (diverse selfies + 2 official ID document photos), this dataset provides the depth and variety needed for production-ready AI models
Why this dataset solves real production challenges
Enterprise Face Recognition systems fail in production not from algorithm weakness, but from training data gaps.
This dataset addresses the 3 critical gaps we identified from our client deployments:
- Insufficient variation per identity
Problem: Models trained on 1-3 photos/person fail when users change appearance
Solution: 15 diverse selfies per person = robust to lighting, pose, accessories, time - Selfie-to-document matching gap
Problem: Models trained only on selfies can’t verify against official ID photos
Solution: Same person in both casual selfies AND official documents (rare combination) - Demographic bias in production
Problem: Models perform poorly on underrepresented ethnicities
Solution: Balanced coverage across Caucasian, Asian, African, Latin American, Arab population
Dataset summary
- 6,000+ real individuals (not synthetic/AI-generated)
- 10-15 images per person – maximum training diversity
- Selfies + Official ID Photos – unique combination for identity verification
- Balanced demographics – ages 18-65
- Multi-ethnic coverage – Caucasian, African, Asian, Latin American
- Real-world conditions – diverse backgrounds, lighting, expressions
Examples
Composition
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Parameter
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Value
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|---|---|
|
Total Participants
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6,000+ unique individuals
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|
Total Images
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70,000+ photos
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Images per Person
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10-15 (selfies + 2 official ID photos)
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|
Metadata Fields
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Demographics, device info, temporal data
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Demographics
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Category
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Coverage
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|---|---|
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Age Range
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18-65 years (wide distribution)
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Gender
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Balanced male/female split
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Ethnicities
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Caucasian, African, East Asian, South Asian, Latin American
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Structured Metadata Included
Dataset includes file with structured metadata for each participant:
- Demographics – Gender, ethnicity, age group for balanced training
- Device Information – OS type (Android/iOS/Windows), device model for multi-device analysis
- Temporal Data – Historic photo year timestamps for age-gap analysis
- Photo Categories – Indoor/outdoor/lighting conditions for scenario-based filtering
Source and collection methodology
The Selfies & ID Photos Face Recognition Dataset was collected through a structured, multi-stage process involving a diverse group of participants recruited from multiple geographic regions. All data collection followed strict ethical guidelines with full informed consent obtained from each participant prior to any image capture
Use cases and applications
- Face Recognition & Detection. Train robust face recognition and detection models using diverse selfies per person to identify individuals across varying lighting, poses, and environmental conditions in security, surveillance, and access control applications
- KYC & Identity Verification. Automate customer identity verification by matching live selfies against official ID document photos for banking onboarding, fintech applications, and regulatory compliance with AML/KYC requirements
- Biometric Authentication. Implement secure facial biometrics for mobile device unlocking, payment authorization, multi-factor authentication, and physical access control systems with sub-second response time and 99%+ accuracy
Download information
A sample version of this dataset is available on Kaggle. Leave a request for additional samples in the form below
Have a question?
We collect data from our internal team. All information is further verified by our specialists
Once your enquiry has been sent, we will contact you to discuss the details and complete the necessary paperwork. The timing of receiving the dataset depends on the specific request and additional requirements
Our unique selling point is to provide legally clean datasets to our customers. We obtain the consent from all the participants to use their data for AI model development. We are able to provide comprensive reporting on the licensing, data collection and privacy compliance of our datasets. Although there seems to be a diverse response to how to control AI development and deployment, we are able to service global customers seeking to launch global AI products.
The price depends on your specific requirements. Please submit a request to receive a free consultation
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