Fabric Masks and Disguise Presentation Attack Dataset
Videos of people wearing fabric masks for facial recognition and fraud prevention.
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-
- Videos
- 3,600
-
- people
- 30
- Facial Recognition
- iBeta
- Liveness Detection
- Security
- Anti-spoofing
- Computer Vision
-
- Videos
- 3,600
-
- people
- 30
Dataset Info
| Characteristic | Data |
| Description | Videos of people in fabric masks training algorithms to detect biometric hacking attempts. |
| Data types | Video |
| Tasks | Face recognition, Computer Vision |
| Total number of videos | 3,600 |
| Total number of people | 30 |
| Labeling | Only technical characteristics and metadata (age, gender, ethnicity, glasses, wig, camera, light condition, background) |
| Gender | Male(50%), Female(50%) |
| Ethnicity | Caucasian, African, Asian |
attacks monthly
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Statistics
-
- Distribution by gender
Technical
Characteristics
| Characteristic | Data |
| Video Extensions | Mp4, MOV |
| Video Resolutions | Min = 1920х1080, Max = 3840х2160 |
| Video Duration | 3-5 second |
| Number of background | 5 |
| Devices | Samsung, iPhone, Xiaomi, Huawei |
Industries
Finance
-
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
-
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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