Phone and Webcam Video Dataset
Photos and videos of people taken on a phone and on a webcam under different lighting conditions
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-
- videos
- 1,300+
-
- people
- 300+
- Security
- Anti-spoofing
- Facial Recognition
- Re-identification
- Machine learning
- Computer Vision
-
- videos
- 1,300+
-
- people
- 300+
Dataset Info
Characteristic | Data |
Description | Each person took 4 videos in which he/she pronounces a set of numbers |
Data types | Video |
Tasks | Facial Recognition, Computer Vision |
Number of video | 1 300+ |
Number of people | 300+ |
Number of files in a set | 4 videos ( 2 on a phone, 2 on a webcam) |
Labeling | Metadata (ID, ethnicity, gender, phone types, webcam types) |
Gender | Male, Female |
Ethnicity | African and Indonesian |
attacks monthly
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Statistics
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- Webcam types
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- Ethnicity distribution
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- Gender distribution
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- Phone types
Technical
Characteristics
Characteristic | Data |
Video extension | mp4 |
Duration of videos | the first video: ~30 seconds, second video: ~8 seconds |
Phone types | Vivo, Realme, Oppo, Techo, Xiaomi, Infinix and etc. |
Phone types | Vivo, Realme, Oppo, Techo, Xiaomi, Infinix and etc. |
Webcam types | Logitech, Havit, Xiaomi, VerkTop, Aukey and etc. |
Industries
Security:
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Cybersecurity:
Applying biometric attack detection techniques for fraud defense
Finance:
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Fraud Detection Algorithms:
Techniques that analyze data patterns to prevent fraud, ensuring secure device unlocking and accurate identity verification.
-
Biometric Verification:
Computer vision to detect and authenticate individuals based on their unique physical characteristics, enabling secure access control systems
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