Commercial
iBeta Level 2 Dataset
The Dataset for successfully obtaining Level 2 iBeta certificate in "Presentation Attack Detection"
Request a demo- 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
- 32,300
- video
- 100%
- iBeta Level 2
- 256
- GB
Case Description
Created in accordance with laboratory requirements
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Proven to be effective in obtaining iBeta Level 2 certification
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Ready for use in training liveness detection systems
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Demonstrates impeccable accuracy without any Type 1 and Type 2 errors
Statistics
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- Attacks in the dataset
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- Gender of the unique people:
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- Ethnicity of the unique people:
Application areas of the dataset
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01.
Facial Recognition:
Data in the dataset to develop and assess facial recognition algorithms, enhancing security systems, unlocking devices, and verifying identity -
02.
Biometric Identification:
Computer vision to detect and authenticate individuals based on their unique physical characteristics, enabling secure access control systems -
03.
Anti-spoofing:
Data in the dataset to train the system to detect a real person in a video
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