Liveness Detection Video Dataset
The dataset consists of images and videos of people for anti-spoofing tasks.
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- videos
- 248,000+
-
- images
- 66,500+
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- people
- 1,000+
- Facial Recognition
- Computer Vision
- Machine learning
- Anti-spoofing
- Liveness Detection
- Security
-
- videos
- 248,000+
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- images
- 66,500+
-
- people
- 1,000+
Dataset Info
Characteristic | Data |
Description | Image and video of people for liveness detection |
Data types | Image, video |
Tasks | Liveness Detection, Computer Vision |
Number of images | 66 528 |
Number of videos | 248 160 |
Total number of people | 1 056 |
Labeling | Metadata (ID, age, gender, ethnicity) |
Gender | Male, Female |
Ethnicity | Asian, Caucasian, African |
Collecting scene | Indoor(776), outdoor(280) |
Age | Young people, middle-aged, elderly |
attacks monthly
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Statistics
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- Distribution by gender
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- Distribution by ethnicity
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- Distribution by age
Technical
Characteristics
Characteristic | Data |
Image extension | jpg |
Video extension | mov. mp4 |
Accuracy of actions | not less than 97% |
Accuracy of naming the actions and lip language | not less than 97% |
Industries
Finance:
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Fraud Detection Algorithms:
Techniques that analyze data patterns to prevent fraud, ensuring secure device unlocking and accurate identity verification.
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Biometric Authentication:
Algorithms that ensure secure user identification through unique biometric traits.
Security:
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Access Control:
Employing facial recognition systems in secure facilities to monitor and control access, enhancing safety and security measures.
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