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Licensed dataset

Anti-Spoofing Replay Attack Dataset

Replay video attacks from the phone screens to train biometric systems to recognize a real person from a prepared photos and videos

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  • Liveness detection The ability to distinguish whether biometric data is being captured from a live or fake source
  • Facial Recognition Process of identifying or verify a person identity using facial features
  • Anti-Spoofing Techniques used to prevent fraudulent attempts to deceive an identifying system
  • iBeta Independent laboratory that certifies liveness detection systems
30 000+
video
100
countries
5 days
from signing a contract

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CASE DESCRIPTION

  • Replay attacks on videos from Anti-Spoofing Real with smartphones and monitors
  • Each video from Anti-Spoofing Real is filmed on the smartphone camera with zooming
  • The dataset includes different smartphones used for attacks, such as iPhone, Xiaomi, Samsung, Vivo
https://www.youtube.com/shorts/3NQ57Otpcio
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Technical specification

  • Each set includes devices used for playing and shooting videos from Anti-Spoofing Real, video resolution, duration and frames per second
  • The replay attack duration varies from 10 to 40 seconds, depend on the original video
  • Inhouse with various lighting, zooming original video on each attack
  • Agreement when providing data for each person
  • The dataset meets the requirements of ISO 30107-3 for Presentation Attack
  • Type of attack according to the FIDO biometric standard - Displayed videos on mobile devices, Level B
  • Data allows you to reduce Attack
Presentation Classificaiton Error Rate

  • Anti-Spoofing Real Unique

    • Selfie photos and videos from Anti-Spoofing Real, every person in the dataset is unique
    • Workers are identified as unique after the verification done by 3 individuals independently
    • 38 000 sets with unique people
    • Metadata from Anti-Spoofing Real
    • Data in 3 days from signing the contract

  • Anti-Spoofing Real

    • 98 000+ photos and videos where people turn their heads
    • People from 170 countries
    • The dataset complies with the requirements of ISO 30107-3 for Bona Fide Presentation
    Read more

  • Anti-Spoofing Print

    • 4 700+ videos with printed A4 photo of a person
    • Photos for attacks are taken from Anti-spoofing Real dataset
    • The dataset complies with the requirements of ISO 30107-3 for Presentation Attack
    • Type of the attack - Printed face image, Level A (FIDO biometric standard)Type of the attack - Printed face image, Level A (FIDO biometric standard)
    Read more

APPLICATION AREAS OF THE DATASET

Facial Recognition:

Data in the dataset to develop and assess facial recognition algorithms, enhancing security systems, unlocking devices, and verifying identity

Biometric Identification:

Computer vision to detect and authenticate individuals based on their unique physical characteristics, enabling secure access control systems

Anti-spoofing:

Data in the dataset to train the system to detect a real person in a video
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Training Data

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  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
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  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
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  • $550 minimum check
  • Variable Workload
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