The Dataset for successfully obtaining the iBeta Lab certificate in "Presentation Attack Detection" Level 1
Presentation Attack
Liveness Detection
Machine Learning
Computer Vision
Ability of a machine to interpret, analyze, and understand visual data
The ability to distinguish whether biometric data is being captured from a live or fake source
Independent laboratory that certifies liveness detection systems
Enables computer systems to automatically learn from data and make predictions
> 45,000
iBeta Level 1
Attack types:
Printed photos with outlines
Photos attached to the cylinder
2D masks with cutouts
3D masks
Phone demos
PC Screen Sharing
Dataset for iBeta certification:
Developed according to labaroty’s requirements
Was successfully used to achieve iBeta Level 1
Ready-to-use for building liveness detection systems
Training with 100% accuracy and no first or second type errors
Extra services
Bounding Box labeling and classification
Collecting real-video and attacks from devices of interest (attacks from MacBook, iPad and iPhone webcams)
Collecting photos with street and home lighting at different times of the day
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