USE CASE
Full HD Video Collection
Live-videos of people of different genders, ages and ethnicities, shot on high-resolution webcams. The dataset effectively solves the tasks of liveness detection and security
Anti-Spoofing
Techniques used to prevent fraudulent attempts to deceive an identifying system
Facial Recognition
Process of identifying or verify a person identity using facial features
Liveness Detection
The ability to distinguish whether biometric data is being captured from a live or fake source
Computer Vision
Ability of a machine to interpret, analyze, and understand visual data
1 000
video files
8 weeks
project duration
Our Partners
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TECHNICAL SPECIFICATIONS
Live videos of people collected from crowdsourcing platforms
Different video resolutions: Full HD (1080p), QHD (1440p), 4K (2160p)
Types of light: indoor daytime and evening lighting
APPLICATION AREAS OF THE DATASET
Biometric authentication:
Data oin the dataset for developing biometric authentication systems for secure access to devices and applications
Anti-spoofing:
Data in the dataset to train the system to detect a real person in a video
Computer Vision:
The dataset can be used to detect and track facial landmarks, such as the position of the eyes, nose, and mouth
Virtual Reality and Gaming:
Data in the dataset to enhance the immersion and realism of virtual reality experiences
DIDN'T FIND THE NECESSARY INFORMATION?
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Why
Training Data
- Quality Assurance:
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Enhanced Data Accuracy
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Consistency in Labels
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Reliable Ground Truth
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Mitigation of Annotation Biases
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Cost and Time Efficiency
- Data Security and Confidentiality:
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GDPR Compliance
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Non-disclosure agreement
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Data Encryption
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Multiple data storage options
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Access Controls and Authentication
- Expert Team:
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6 years in industry
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35 top project managers
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40+ languages
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100+ countries
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250k+ assessors
- Flexible and Scalable Solutions:
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24/7 availability of customer service
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100% post payment
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$550 minimum check
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Variable Workload
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Customized Solutions
Team leads project
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Kirill Meshyk
Operations manager
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Arthur Kazukevich
Python-developer
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Ksenia Sikorskaya
Project manager
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