Commercial
2D Masks with Eyeholes Attacks Dataset
Videos of people wearing of holding 2D masks with eyeholes for facial recognition, fraud prevention and iBeta Level 1 & 2 certification
Request a demo- iBeta Independent laboratory that certifies liveness detection systems
- Liveness Detection The ability to distinguish whether biometric data is being captured from a live or fake source
- Computer Vision The ability to recognize and analyze images and videos
- Security Training algorithms to recognize situations that can cause harm
- 11,200+
- videos
- 5
- devices
CASE DESCRIPTION
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Includes 11,800 attack videos taken with 5 devices
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- Videos of individuals wearing or holding 2D masks with eyeholes, specifically designed for iBeta Level 1 & 2 testing and Liveness Detection
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The attacks were filmed in various backgrounds, people used different attributes
Application areas of the dataset
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01.
Anti-spoofing:
Data in the dataset to train the system to detect a real person in a video -
02.
Liveness Detection Algorithm Development:
Data for the creation and improvement of algorithms that distinguish between real human faces and fake representations, ensuring more accurate liveness detection -
03.
Financial and Access Control Security:
Dataset can be used to enhances the security of authentication systems used in banking, secure facilities, and other industries that rely on biometric verification -
04.
Facial Recognition:
Data in the dataset to develop and assess facial recognition algorithms, enhancing security systems, unlocking devices, and verifying identity
Statistics
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- Devices in the dataset
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- Gender distribution
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