Understanding Image Representation in Computers
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Questions and Answers

How does a computer see an image?

  • As a two-dimensional matrix of numbers (correct)
  • As a single number
  • As a combination of colors
  • As a three-dimensional matrix of numbers
  • How is an RGB image represented to a computer?

  • As a black and white image
  • As a one-dimensional array
  • As one-dimensional vector
  • As three separate two-dimensional images (correct)
  • What types of machine learning tasks can be performed using image representation to computers?

  • Deep learning tasks
  • Natural language processing tasks
  • Computer vision tasks (correct)
  • Speech recognition tasks
  • In which type of machine learning problem does the output take a continuous value?

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

    What is the main goal of image classification?

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

    What is the primary goal of building a classification pipeline for image analysis?

    <p>Identifying unique features of different classes</p> Signup and view all the answers

    How is image classification related to identifying unique features of classes?

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

    What is the bottleneck in detecting human faces based on prior domain knowledge?

    <p>The hierarchy of the detection pipeline</p> Signup and view all the answers

    How does the text suggest leveraging domain knowledge in image classification?

    <p>By leveraging knowledge about human faces for feature detection</p> Signup and view all the answers

    Why is it important for a classification pipeline to understand unique differences in each class or feature?

    <p>To correctly classify images with high confidence</p> Signup and view all the answers

    What can be an effective way to classify images based on the text?

    <p>Detecting features characteristic of each class</p> Signup and view all the answers

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