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DATASET
The Dataset for successfully obtaining the iBeta Lab certificate in "Presentation Attack Detection" Level 1
Presentation
Attack
Detection
Schedule a demo
Liveness Detection
Machine Learning
iBeta
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
video
100%
iBeta Level 1
256
GB
Attack
types:
Printed photos with outlines
Consultation
Photos attached to the cylinder
2D masks with cutouts
3D masks
Phone demos
PC Screen Sharing
Download
the PDF
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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Tell us about your project!
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Submit
See other
datasets
«Presentation Attack Detection» Level 2
The Dataset for successfully obtaining Level 2 iBeta certificate in "Presentation Attack Detection"
Anti-spoofing dataset
40,000 videos and selfies with unique people. 15,000 attack replays from 4,000 unique devices
Face Mask Detection dataset
250 000 images, 4 types of mask worn, 28 000 unique faces. Each item contains image size, photo type, person's age, gender, user ID.
Selfies and video dataset
4000 people in this dataset. Each person took a selfie on a webcam, took a selfie on a mobile phone
Understanding iBeta certification: Eligible Datasets for Face Recognition Technology Testing
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Read more
Build your celebrity dataset
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