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Pixel Processing in Images

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Questions and Answers

How does a computer perceive images?

As a collection of shapes
As a collection of colors
As a collection of pixels (correct)
As a collection of sounds

How are grayscale images represented in computers?

As a two-dimensional matrix of numbers (correct)
As a three-dimensional matrix of numbers
As a one-dimensional array of numbers
As a vector of colors

How is an RGB image represented in computers?

As a vector of colors
As a grayscale image
As a single-dimensional array of numbers
As three two-dimensional images stacked on top of each other (correct)

In what types of machine learning tasks can the representation of images as matrices be useful?

Regression and classification (D) Signup and view all the answers

What does regression deal with in machine learning?

Continuous values (C) Signup and view all the answers

What is the main goal of image classification tasks?

Predicting a single label for an image (D) Signup and view all the answers

What is the main focus in building an image classification pipeline according to the text?

Detecting unique differences in each image (B) Signup and view all the answers

How is classification done in the image classification pipeline described in the text?

By identifying unique features specific to each class (C) Signup and view all the answers

What is a major challenge highlighted in the text about using domain knowledge for classification?

The bottleneck created by the detection pipeline (D) Signup and view all the answers

What does the text suggest as a way to detect human faces in an image?

Detecting eyes and ears first (D) Signup and view all the answers

Why is detecting noses, ears, and mouths considered a bottleneck in the process according to the text?

The hierarchy creates a limitation in detection (D) Signup and view all the answers

What is the key requirement mentioned in the text for correctly classifying images?

Identifying unique differences in each image (D) Signup and view all the answers