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iBeta Level 1 Video Attacks Dataset

The Dataset for successfully obtaining the iBeta Lab certificate in "Presentation Attack Detection" Level 1
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Liveness Detection The ability to distinguish whether biometric data is being captured from a live or fake source
Ibeta Independent laboratory that certifies liveness detection systems
Computer Vision Ability of a machine to interpret, analyze, and understand visual data
Machine Learning Enables computer systems to automatically learn from data and make predictions
28,300
video
100%
iBeta Level 1
256
GB

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CASE DESCRIPTION

The Dataset for the iBeta Lab certificate in “Presentation Attack Detection” Level 1

Includes 28,300 videos of attacks from 50 unique people

Real videos and 6 types of attacks using: printed photos, photos attached to the cylinder, 3D masks, 2D masks, smartphone’s demonstration and computer screen’s demonstration

The attacks were filmed in various backgrounds, people used different attributes (medical mask and glasses)

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  • Developed to satisfy the laboratory’s requirements
  • Successfully used to get iBeta Level 1 certificate
  • Ready-to-use for training liveness detection systems
  • 100% accuracy, without type 1 and type 2 errors
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Statistics

Age of the unique people:

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Gender of the unique people:

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Ethnicity of the unique people:

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APPLICATION AREAS OF THE DATASET

Facial Recognition:

Data in the dataset to develop and assess facial recognition algorithms, enhancing security systems, unlocking devices, and verifying identity

Biometric Identification:

Computer vision to detect and authenticate individuals based on their unique physical characteristics, enabling secure access control systems

Anti-spoofing:

Data in the dataset to train the system to detect a real person in a video
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