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---
license: cc-by-4.0
tags:
- "liveness detection"
- "anti-spoofing"
- "biometrics"
- "facial recognition"
- "machine learning"
- "deep learning"
- "AI"
- "replay attack"
- "spoof detection"
- "security"
---
# Replay Attack Dataset: Mobile Devices for Liveness Detection (3K+ Attacks, 1.5K People)
## Full version of the dataset is available for commercial usage. Leave a request on our website [Axonlabs](https://axonlabs.pro/?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=display_replay_attacks&utm_id=12345) to purchase the dataset 💰
## For feedback and additional sample requests, please contact us!
## Dataset Description
This dataset consists of 1,500 individuals who provided selfies, followed by 3,000 replay display attacks executed across 15 different mobile devices. These attacks are captured from a diverse range of devices, spanning low, medium, and high-end mobile phones, providing extensive variation in screen types, lighting, and environmental conditions
### Real Life Selfies
- Each person provided one selfie.
- Selfies are at least **720p** quality.
- Faces are clear with no filters.
### Replay Display Attacks
- The dataset includes **5,000+ replay attacks**.
- The attacks vary in **lighting**, **devices**, and **screens**.
- Videos last **at least 12 seconds**.
- Cameras move slowly, showing attacks from various angles.
### Key Features
- **Selfies**: Over **1,000** individuals shared selfies, balanced in terms of gender and ethnicity.
- **Replay Display Attacks**: More than **5,000 replay display attacks** crafted from these selfies, providing a diverse set of attack types.
### Potential Use Cases
This dataset is ideal for training and evaluating models for:
- **Liveness Detection**: Helping to distinguish between real selfies and spoof attempts (replay attacks).
- **Anti-Spoofing**: Enhancing security in biometric systems and preventing fake or spoofed face recognition attempts.
- **Biometric Authentication**: Improving facial recognition security systems.
- **Machine Learning and Deep Learning**: Assisting researchers in building robust liveness detection models.
### Keywords
- Display attacks
- Antispoofing
- Liveness Detection
- Spoof Detection
- Facial Recognition
- Biometric Authentication
- Security Systems
- AI Dataset
- Replay Attack Dataset
- Anti-Spoofing Technology
- Facial Biometrics
- Machine Learning Dataset
- Deep Learning
## Contact and Feedback
We welcome your feedback! Feel free to reach out to us and share your experience with this dataset. If you're interested, you can also **receive additional samples for free**! 😊
Visit us at [**Axonlabs**](https://axonlabs.pro/?utm_source=huggingface&utm_medium=dataset_card&utm_campaign=display_replay_attacks&utm_id=12345) to request a full version of the dataset for commercial usage. |