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iBeta Level 1 Attacks dataset

The Dataset for successfully obtaining the iBeta Lab certificate in "Presentation Attack Detection" Level 1
Liveness Detection The ability to distinguish whether biometric data is being captured from a live or fake source
Ibeta Independent laboratory that certifies liveness detection systems
Computer Vision Ability of a machine to interpret, analyze, and understand visual data
Machine Learning Enables computer systems to automatically learn from data and make predictions
> 45,000
video
100%
iBeta Level 1
256
GB

CASE DESCRIPTION

Developed according to labaroty’s requirements

Was successfully used to achieve iBeta Level 1

Ready-to-use for building liveness detection systems

Training with 100% accuracy and no first or second type errors

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

FACTORS AFFECTING THE FINAL PROJECT COST INCLUDE

Our data quality guarantee is 95%. For annotation orders requiring quality above 95%, we offer enterprise solutions
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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

Team leads project

Wadim Starosotnikow
Senior quality control manager
Arthur Kazukevich
Python-developer
Maria Kuzmina
Project manager
woman

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