2D Masks with Eyeholes Attacks Dataset
This masks with eyeholes dataset contains over 11,200 well-annotated videos of people wearing or holding 2D masks with eyeholes. Designed for facial recognition, fraud prevention, and iBeta Level 1 & 2 certification, it supports training face antispoofing models, spoofing detection algorithms, and liveness detection for real-world biometric security.
-
- videos
- 11,200+
-
- devices
- 5
- iBeta
- Liveness Detection
- Computer Vision
- Security
- Facial Recognition
- Anti-spoofing
This masks with eyeholes dataset contains over 11,200 well-annotated videos of people wearing or holding 2D masks with eyeholes. Designed for facial recognition, fraud prevention, and iBeta Level 1 & 2 certification, it supports training face antispoofing models, spoofing detection algorithms, and liveness detection for real-world biometric security.
- iBeta
- Liveness Detection
- Computer Vision
- Security
- Facial Recognition
- Anti-spoofing
-
- videos
- 11,200+
-
- devices
- 5
Dataset Info
| Characteristic | Data |
| Description | Videos of individuals wearing or holding 2D masks with eyeholes, |
| Data types | Video |
| Tasks | Liveness Detection, Computer Vision |
| Total number of files | 11,200+ |
| Labeling | Metadata (age, gender, ethnicity, devices) |
| Gender | Male, Female |
| Number of attributes | 31 |
attacks monthly
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Statistics
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- 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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