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Licensed dataset

Anti-Spoofing Real Video Dataset

Selfie photos and selfie videos of people. The dataset solves the tasks of training algorithms to distinguish real users from scammers

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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
98 000+
photo & video
170
countries
5 days
from signing a contract

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CASE DESCRIPTION

  • 70,000 people from 10 to 85 years old take photos of themselves and turn their heads to the smartphone camera
  • The dataset consists of selfies using the front camera of the different smartphones, including iPhone, Xiaomi, Samsung, OPPO, Honor, Vivo
  • The dataset includes video on the front camera of a smartphone, in which a person turns his head in different directions
https://www.youtube.com/shorts/M7tUyvKhFt0
https://www.youtube.com/shorts/J8q8NyBVXfw
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Technical specification

  • Each set includes person's gender, age, ethnicity, video resolution, duration and frames per second
  • The video durations varies from 10 seconds to 30 seconds, depends on the person
  • Mostly inhouse with diverse background and various lighting
  • Agreement when providing data for each person
  • The dataset meets the requirements of ISO 30107-3 for Bona Fide Presentation
  • Data allows you to reduce Bona Fide
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 Replay

    • 32 000+ videos of phone's displays with Real videos of a person
    • Videos for replay 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 - Displayed videos on mobile devices, Level B (FIDO biometric standard)
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  • 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)
    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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Why
Training Data

  • Quality Assurance:
  • Enhanced Data Accuracy
  • Consistency in Labels
  • Reliable Ground Truth
  • Mitigation of Annotation Biases
  • Cost and Time Efficiency
  • Data Security and Confidentiality:
  • GDPR Compliance
  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
  • Access Controls and Authentication
  • Expert Team:
  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
  • Flexible and Scalable Solutions:
  • 24/7 availability of customer service
  • 100% post payment
  • $550 minimum check
  • Variable Workload
  • Customized Solutions
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