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Questions and Answers
How does a computer view images?
How does a computer view images?
- As a series of letters
- As a matrix of numbers (correct)
- As a network of lines
- As a combination of shapes
How is a grayscale image represented in terms of pixels?
How is a grayscale image represented in terms of pixels?
- As a single number (correct)
- As a three-dimensional structure
- As a collection of symbols
- As a series of colors
How is an RGB image represented to a computer?
How is an RGB image represented to a computer?
- Four separate images for different channels
- One large grayscale image
- Three concatenated two-dimensional images for red, green, and blue channels (correct)
- A mix of numbers and letters
What types of machine learning tasks can be performed using image representation as matrices?
What types of machine learning tasks can be performed using image representation as matrices?
In regression, what type of output does the model predict?
In regression, what type of output does the model predict?
What is the main goal in image classification?
What is the main goal in image classification?
What is the main task of the classification pipeline in image classification?
What is the main task of the classification pipeline in image classification?
Why is it important for an image classification pipeline to understand unique differences in images?
Why is it important for an image classification pipeline to understand unique differences in images?
How can leveraging domain knowledge help in image classification?
How can leveraging domain knowledge help in image classification?
What is the bottleneck faced with leveraging domain knowledge for image classification?
What is the bottleneck faced with leveraging domain knowledge for image classification?
How does the detection of specific features contribute to accurate image classification?
How does the detection of specific features contribute to accurate image classification?
What approach involves detecting features unique to a specific class for accurate classification?
What approach involves detecting features unique to a specific class for accurate classification?
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