---
license: cc-by-nc-4.0
task_categories:
- image-feature-extraction
- image-classification
- video-classification
language:
- en
tags:
- liveness detection
- anti-spoofing
- biometrics
- facial recognition
- machine learning
- deep learning
- AI
- paper mask attack
- iBeta certification
- PAD attack
- security
- ibeta
- face recognition
- pad
- authentication
- fraud
---
7,000+ people, 70,000+ images: current selfies + archive photos 

## Contact us and share your feedback - recieve additional samples for free! 😊

## Real Multi-Year Temporal Coverage
- Archive photos from 6 months to 10+ years before current images - not synthetic aging
- Natural aging progression: wrinkles, hairstyle changes, weight fluctuations

## Above-Average Photos Per Person
- 8-15 archive photos (past) - historical photos from 1-15 years ago
- 2-4 current selfies (present) - recent appearance with lighting and environment variations

**Total: 70,000+ images across 7,000+ identities**

## Diverse Real-World Conditions
- Multi-device captures: Android, iOS, Windows (phones, webcams)
- Multi-ethnic coverage: Balanced representation across demographics
- Age range: 18-70 years old

## Metadata Included
- Demographics: gender, ethnicity, age
- Device info: OS (Android/iOS/Windows), device type, model
- Temporal data: archive photo years

## Full version of dataset is availible for commercial usage - leave a request on our website [Axonlabs ](https://axonlabs.pro/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to purchase the dataset 💰

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F20109613%2F3517a12890c4f267b4bcc73093f00ee8%2FFrame%20170-2.png?generation=1768310109004948&alt=media)

## Potential Use Cases
- Face Recognition & Verification - High sample density per person for robust training
- Temporal/Age-Invariant Recognition - Multi-year gaps for aging-robust models
- Demographic Bias Testing - Balanced ethnic and age distribution
- Cross-Device Training - Photos from multiple device types and resolutions
- Long-term Identity Verification - Systems requiring recognition across years

## Related Datasets with Additional Features
This dataset focuses on temporal face recognition with current and archive selfies. For additional use cases, check out our related datasets:

**[1. Selfie & Official ID Photo Dataset](https://huggingface.co/datasets/AxonData/Selfie_and_Official_ID_Photo_Dataset)**
- Current and historical selfies PLUS official ID document photos (2 per person)
- Ideal for: KYC verification, selfie-to-ID matching, identity verification
- 6,000+ people with selfies + ID photos + archive photos
- Use case: Training models to match casual selfies against official documents

**[2. Face Recognition Dataset: Selfies & Videos](https://huggingface.co/datasets/AxonData/selfie-and-video-dataset)**
- Same base dataset PLUS NIST liveness videos (2 per person: zoom-in + head turn)
- Ideal for: Liveness detection, anti-spoofing, video face recognition
- 1,000+ people with selfies + archive photos + liveness videos
- Use case: Training models to detect presentation attacks and verify live persons

keywords: face recognition, face detection, biometric authentication, liveness detection,
anti-spoofing, video face recognition, computer vision,
selfie dataset, video dataset