Image augmentation transforms in Computer Vision - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the purpose of image augmentation in machine learning?

Image augmentation creates new, varied images from existing ones to help models learn better and avoid overfitting by seeing more diverse examples.

beginner

Name three common image augmentation transforms.

Common transforms include rotation (turning the image), flipping (mirroring), and scaling (resizing).

intermediate

How does random rotation help a model learn?

Random rotation shows the model the same object from different angles, helping it recognize objects regardless of orientation.

beginner

What is the difference between horizontal flip and vertical flip?

Horizontal flip mirrors the image left to right, while vertical flip mirrors it top to bottom.

intermediate

Why should augmentation transforms be applied carefully?

Because some transforms can change the meaning of the image (like flipping text), so they must keep the image realistic for the task.

Which of these is NOT a typical image augmentation transform?

A Sorting pixels

B Flipping

C Adding noise

D Rotation

Sorting pixels is not a standard augmentation; it would destroy image structure.

What does scaling an image do?

A Changes the image color

B Changes the image size

C Flips the image horizontally

D Rotates the image

Scaling changes the size of the image, making it bigger or smaller.

Why use random brightness adjustment in augmentation?

A To make the image blurry

B To crop the image

C To simulate different lighting conditions

D To flip the image

Adjusting brightness helps the model learn to recognize objects under various lighting.

Which transform would help a model recognize objects regardless of orientation?

A Cropping

B Noise addition

C Color inversion

D Rotation

Rotation shows the model objects at different angles.

What is a risk of applying vertical flip to images with text?

A Text becomes unreadable or meaningless

B Image size changes

C Colors invert

D Model accuracy improves

Vertical flip can make text upside down, confusing the model.

Explain why image augmentation is important and list at least three common transforms.

Think about how augmentation helps models see more varied data.

Describe how random rotation and flipping help improve model robustness.

Consider how these transforms simulate real-world variations.