Printed 3D Masks Attacks Dataset
Videos of people holding photo fixed on cylinder for facial recognition, fraud prevention and iBeta Level 1 certification
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- videos
- 3,800+
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- devices
- 5
- iBeta
- Liveness Detection
- Computer Vision
- Security
-
- videos
- 3,800+
-
- devices
- 5
Dataset Info
| Characteristic | Data |
| Description | Videos of individuals wearing or holding 3D masks |
| Data types | Video |
| Tasks | Liveness Detection, Computer Vision, iBeta |
| Number of video | 3 800+ |
| Labeling | Metadata (age, gender, ethnicity, devices) |
| Gender | Male, Female |
| Number of attributes | 31 |
Statistics
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- Age of the unique people
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- Gender distribution
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- Ethnicity of the unique people
Technical
Characteristics
| Characteristic | Data |
| Video extension | mp4, MOV |
| Video Resolutions | Min = 1920х1080, Max = 3840х2160 |
| Video duration | 4 second |
| Number of background | 9 |
| Video overlap | No more than 5% |
| Devices | IOS, Android |
Industries
Finance:
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Banking:
Using biometric authentication for secure access to bank accounts and transactions.
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E-commerce:
Using facial recognition technologies to prevent fraud in online purchases and authenticate users.
Security:
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Access Control Integration:
Implementation of solutions based on iBeta Level 2 to enhance security levels across various sectors, including physical security and access to digital resources.
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Biometric Verification:
A method of confirming identity using unique biological traits, such as facial features, to authenticate individuals
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Cybersecurity:
Applying biometric attack detection techniques for fraud defense
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