Journey into Responsible AI, Build a Deepfake detection engine - Certification

Full Name:

Email:

Phone Number:

All below questions are mandatory

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

Which of the following is NOT a step in the Deepfake algorithm?

Face Detection

Face Alignment

Feature Extraction

Text Recognition

What is PyTorch?

A deep learning framework

A programming language

A computer vision algorithm

An image processing library

What is the purpose of image segmentation in computer vision?

To classify images into different categories

To identify and locate objects in an image

To enhance the quality of an image

To convert an image to a different format

Which of the following is NOT a task that can be performed using Computer Vision?

Object Detection

Image Segmentation

Text Recognition

Speech Synthesis

In this training, we discussed how to create your own Deepfake Detection Engine. Download and run the Deepfake Detector kit and Customize with your own idea and share with us screenshot/photo/video of the changes you implemented in your Deepfake Detector kandi kit.