Datasets:
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---
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
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
## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://axonlabs.pro/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to purchase the dataset 💰
Left: Real selfie; Right: Display attack
Left: Real selfie; Right: Display attack
## Dataset Description:
- Over 1,000 individuals shared selfies
- Balanced mix of genders and ethnicities
- More than 5,000 display attacks crafted from these selfies
## Real Life Selfies Description:
- Each person provided one selfie
- Selfies are at least 720p quality
- Faces are clear with no filters
## Replay display attacks description:
- Videos last at least 12 seconds
- Cameras move slowly, showing attacks from various angles
## 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
- 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 |