Printed 2D Masks Attacks Dataset
It is a high-quality masks biometric attacks dataset featuring over 4,800 videos of people wearing or holding 2D printed masks. Designed for training facial recognition, liveness detection, and fraud prevention systems, the dataset also supports research for iBeta Level 1 & 2 certification compliance.
-
- videos
- 4,800+
-
- devices
- 5

- iBeta
- Liveness Detection
- Computer Vision
- Security
- Anti-spoofing
- Machine learning
It is a high-quality masks biometric attacks dataset featuring over 4,800 videos of people wearing or holding 2D printed masks. Designed for training facial recognition, liveness detection, and fraud prevention systems, the dataset also supports research for iBeta Level 1 & 2 certification compliance.
- iBeta
- Liveness Detection
- Computer Vision
- Security
- Anti-spoofing
- Machine learning
-
- videos
- 4,800+
-
- devices
- 5
Dataset Info
Characteristic | Data |
Description | Videos of individuals wearing or holding 2D masks |
Data types | Video |
Tasks | Liveness Detection, Computer Vision, iBeta |
Number of video | 4 800+ |
Labeling | Metadata (age, gender, ethnicity, devices) |
Gender | Male, Female |
Number of attributes | 31 |
attacks monthly
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Statistics
-
- Devices in the dataset
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- Gender distribution
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 |
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