Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study -

The video tutorial covers image transformations, including translation, rotation, zoom, and shear. It provides practical examples and code demonstrations for each transformation type. The tutorial also discusses advanced techniques like image stretching and adding Gaussian noise. Finally, it offers practice questions to reinforce the concepts learned.

What is the first step in the image transformation process as discussed in the video?

• Performing a linear transformation

• Changing the center of the axis

• Performing a translation

• Adding Gaussian noise

Which transformation involves keeping the center constant while rotating the image?

• Rotation

• Sheer transformation

• Translation

• Similarity transformation

How is a zoom out effect achieved on an image?

• By rotating the image 90 degrees

• By reducing the scale of the image

• By increasing the scale of the image

• By adding Gaussian noise

What transformation is performed by moving the center to a new position?

• Zoom in

• Sheer transformation

• Translation

• Rotation

What is the effect of adding Gaussian noise to an image?

• It rotates the image

• It adds distortion to the image

• It stretches the image

• It makes the image clearer

Which transformation involves changing the dimensions of an image to make it appear stretched?

• Rotation

• Stretching

• Translation

• Zoom in

What is the main focus when learning image transformations according to the video?

• Memorizing the code

• Understanding the concepts

• Practicing without understanding

• Ignoring business justification