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license: cc-by-4.0 |
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tags: |
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- "liveness detection" |
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- "anti-spoofing" |
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- "biometrics" |
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- "facial recognition" |
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- "machine learning" |
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- "deep learning" |
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- "AI" |
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- "replay attack" |
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- "spoof detection" |
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- "security" |
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--- |
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# Replay Attack Dataset: Mobile Devices for Liveness Detection (3K+ Attacks, 1.5K People) |
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## 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 💰 |
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## For feedback and additional sample requests, please contact us! |
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## Dataset Description |
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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 |
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### Real Life Selfies |
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- Each person provided one selfie. |
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- Selfies are at least **720p** quality. |
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- Faces are clear with no filters. |
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### Replay Display Attacks |
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- The dataset includes **5,000+ replay attacks**. |
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- The attacks vary in **lighting**, **devices**, and **screens**. |
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- Videos last **at least 12 seconds**. |
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- Cameras move slowly, showing attacks from various angles. |
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### Key Features |
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- **Selfies**: Over **1,000** individuals shared selfies, balanced in terms of gender and ethnicity. |
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- **Replay Display Attacks**: More than **5,000 replay display attacks** crafted from these selfies, providing a diverse set of attack types. |
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### Potential Use Cases |
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This dataset is ideal for training and evaluating models for: |
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- **Liveness Detection**: Helping to distinguish between real selfies and spoof attempts (replay attacks). |
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- **Anti-Spoofing**: Enhancing security in biometric systems and preventing fake or spoofed face recognition attempts. |
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- **Biometric Authentication**: Improving facial recognition security systems. |
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- **Machine Learning and Deep Learning**: Assisting researchers in building robust liveness detection models. |
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### Keywords |
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- Display attacks |
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- Antispoofing |
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- Liveness Detection |
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- Spoof Detection |
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- Facial Recognition |
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- Biometric Authentication |
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- Security Systems |
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- AI Dataset |
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- Replay Attack Dataset |
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- Anti-Spoofing Technology |
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- Facial Biometrics |
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- Machine Learning Dataset |
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- Deep Learning |
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## Contact and Feedback |
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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**! 😊 |
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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. |
