Webinar - 3 | Build responsibly with Deep Fake

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Webinar - 3 | Build responsibly with Deep Fake

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1. What is the purpose of data augmentation in Computer Vision?
*

To increase the size of the dataset

To improve the performance of the model

To reduce overfitting

All of the above

2. Which of the following is NOT a step in the DeepFake algorithm?
*

Face Detection

Face Alignment

Feature Extraction

Text Recognition

3. Which of the following is a potential use case for DeepFake technology? *

Improving cybersecurity measures

Creating realistic virtual reality experiences

Enhancing the quality of music recordings

None of the above

4. How does the MTCNN help in DeepFake detection? *

By detecting facial landmarks and aligning faces in images

By analyzing the audio signals in video files

By detecting any unusual patterns in the video stream

None of the above

5. What is the purpose of InceptionResNetV1 in DeepFake detection? *

To identify the presence of deepfake artifacts in images

To classify the authenticity of video files

To detect any unusual movements or behavior in the video stream

None of the above

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