| --- |
| license: cc-by-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 |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Face Anti Spoofing Replay Dataset |
| # iBeta Level 1 Dataset |
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| Liveness Detection: Replay attacks. 5,000+ videos of display replay monitor attacks 12+ sec and real photos. The attacks provide diversity of lighting, devices, and screens |
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| ## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to purchase the dataset 💰 |
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|  |
| Left: Real selfie; Right: Display attack |
|  |
| Left: Real selfie; Right: Display attack |
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| ## Dataset Description: |
| - Over 1,000 individuals shared selfies |
| - Balanced mix of genders and ethnicities |
| - More than 5,000 display attacks crafted from these selfies |
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| ## Real Life Selfies Description: |
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| - Each person provided one selfie |
| - Selfies are at least 720p quality |
| - Faces are clear with no filters |
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| ## Replay display attacks description: |
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| - Videos last at least 12 seconds |
| - Cameras move slowly, showing attacks from various angles |
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| ## Potential Use Cases: |
| - Liveness detection: This dataset is ideal for training and evaluating liveness detection models, enabling researchers to distinguish between selfies and replay display attacks with high accuracy |
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| - 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 |
