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?

    <p>Regression and classification</p> Signup and view all the answers

    What does regression deal with in machine learning?

    <p>Continuous values</p> Signup and view all the answers

    What is the main goal of image classification tasks?

    <p>Predicting a single label for an image</p> Signup and view all the answers

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

    <p>Detecting unique differences in each image</p> Signup and view all the answers

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

    <p>By identifying unique features specific to each class</p> Signup and view all the answers

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

    <p>The bottleneck created by the detection pipeline</p> Signup and view all the answers

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

    <p>Detecting eyes and ears first</p> Signup and view all the answers

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

    <p>The hierarchy creates a limitation in detection</p> Signup and view all the answers

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

    <p>Identifying unique differences in each image</p> Signup and view all the answers

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