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Face Detection Flashcards | StudBud
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Face Detection
Face Detection
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StudBud Administration
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Explore tech frontiers: Face Detection, Deepfakes, Biometrics.
Flashcards
10 cards
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Practice quiz
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Questions
10
Answers
1
What fuels face detection advancements for accuracy and real-time results?
Augmented Reality (AR) techniques
Virtual Reality (VR) algorithms
Natural Language Processing (NLP) models
Deep learning and neural networks
2
Deepfake creators rely on entirely fabricated information
False
True
3
What technology is used for facial recognition in modern systems?
Biometric sensors
Artificial Intelligence
Neural Networks Technology
4
Facial recognition technology is expected to impact every institution.
False
True
5
Face detection algorithms typically start by searching for complex facial features before confirming
True
False
6
How does facial recognition algorithm work?
Using specific face points
Combining facial features into a pattern
Comparison of facial structure with such a basis of vision
7
Which picture is not AI generated?
Bottom Right
Bottom Left
Top Right
Top Left
8
What is a characteristic of deepfakes?
Their technology is exclusively used for lawful and entertainment purposes.
They primarily use entirely fabricated information.
They involve altering original audio or video clips for a specific purpose.
Their creators rely solely on private and confidential sources for content.
9
Which technologies are used in face detection applications ?
Natural Language Processing (NLP) and Speech Recognition
AI algorithms, ML, statistical analysis, and image processing
Blockchain and Cryptocurrency analysis
Augmented Reality (AR) and Virtual Reality (VR) techniques
10
How can privacy concerns be addressed in the implementation of facial recognition technology?
Developing clear laws and regulations
Use of anonymous algorithms for data processing
Limiting the storage of biometric data
