Commercial

Latex Mask Attacks Dataset

Videos of people wearing latex masks for facial recognition, fraud prevention and iBeta Level 2 certification

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  • videos
    11,100+
  • devices
    5
  • iBeta
  • Liveness Detection
  • Computer Vision
  • Security
  • Facial Recognition
  • Anti-spoofing
  • videos
    11,100+
  • devices
    5

Dataset Info

Characteristic Data
Description Video of people in latex masks training algorithms to detect biometric hacking attempts.
Data types Video
Tasks Face recognition, Computer Vision
Total number of files 11,100
Labeling Only technical characteristics and metadata (age, gender, ethnicity)
Gender Male, Female
Number of attributes 31
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Statistics

Devices in the dataset
Gender distribution

Technical
Characteristics

Characteristic Data
Video extension mp4
Video Resolutions Min = 1920х1080, Max = 3840х2160
Video duration 1-2 second
Number of background 9
Video overlap No more than 5%
Devices IOS, Android
Source and collection methodology. Data was collected via crowdsourcing platforms.

Industries

Finance:

  • Banking:

    Using biometric authentication for secure access to bank accounts and transactions.

  • E-commerce:

    Using facial recognition technologies to prevent fraud in online purchases and authenticate users.

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Security:

  • Access Control Integration:

    Implementation of solutions based on iBeta Level 2 to enhance security levels across various sectors, including physical security and access to digital resources.

  • Biometric Verification:

    A method of confirming identity using unique biological traits, such as facial features, to authenticate individuals

  • Cybersecurity:

    Applying biometric attack detection techniques for fraud defense

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