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README.md

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-license: cc-by-4.0
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+license: cc-by-4.0
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+## Liveness Detection: Replay attacks (5K+)
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+The dataset includes selfies from over 1,000 people. Later, a team of over 200 people made 5,000+ replay display attacks based on these selfies. The attacks provide diversity of lighting, devices, and screens.
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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
+- Full version of dataset is availible for commercial usage - leave a request on our website Axonlabs to purchase the dataset 💰
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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
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