Processing Images as Two-Dimensional Matrices
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Questions and Answers

How does a computer view images?

  • As a single pixel
  • As a matrix of two-dimensional numbers (correct)
  • As a combination of letters
  • As a series of words
  • In an RGB image, how are the red, green, and blue colors represented?

  • As a combination of red, green, and blue pixels
  • As separate audio files
  • As three separate two-dimensional images (correct)
  • As one single-dimensional image
  • What is the main difference between classification and regression in machine learning?

  • The type of input they take
  • The type of output they predict (correct)
  • The color of the images they analyze
  • The size of the images they process
  • What types of tasks can be performed with the foundation of representing images as matrices?

    <p>Face detection</p> Signup and view all the answers

    Why do we concatenate three 2D matrices in RGB images?

    <p>To represent different color channels</p> Signup and view all the answers

    What kind of value does regression output in machine learning?

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

    What is the main goal of building a classification pipeline for image recognition?

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

    How is image classification done using the detection of specific features?

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

    What is a bottleneck in using domain knowledge to detect human faces in an image?

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

    Why is it important for the pipeline to understand unique differences in images of different classes?

    <p>To correctly classify images into their respective classes</p> Signup and view all the answers

    What is one of the challenges with leveraging domain knowledge to detect human faces?

    <p>Dependence on detecting noses, ears, and mouths</p> Signup and view all the answers

    In image classification, why is it essential to detect enough features specific to a class?

    <p>To confidently classify an image into a particular class</p> Signup and view all the answers

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