Datasets:
Formats:
imagefolder
Languages:
English
Size:
< 1K
Tags:
display-replay-attack
replay-attack
face-anti-spoofing
liveness-detection
presentation-attack-detection
pad
License:
| license: cc-by-4.0 | |
| task_categories: | |
| - image-feature-extraction | |
| - image-classification | |
| - video-classification | |
| language: | |
| - en | |
| tags: | |
| - display-replay-attack | |
| - replay-attack | |
| - face-anti-spoofing | |
| - liveness-detection | |
| - presentation-attack-detection | |
| - pad | |
| - biometrics | |
| - face-recognition | |
| - spoofing | |
| - monitor-replay | |
| - laptop-replay | |
| - smartphone-replay | |
| - iso-30107-3 | |
| - ibeta-level-1 | |
| - idiap-replay-attack-baseline | |
| size_categories: | |
| - 1K<n<10K | |
| # 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](https://axonlab.ai/?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 |