iBeta Datasets for Liveness Detection - L1, L2, L3
Collection
A curated collection of iBeta-compliant biometric datasets for face liveness detection and presentation attack detection (PAD) • 7 items • Updated • 1
Datasets:
Search is not available for this dataset
image imagewidth (px) 1k 1k |
|---|
Face Anti Spoofing Replay Dataset
iBeta Level 1 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 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
- Downloads last month
- 114