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Computer Visionml~5 mins

Cropping images in Computer Vision - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What does cropping an image mean?
Cropping an image means cutting out a part of the image to keep only the important area and remove the rest.
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beginner
Why do we crop images in machine learning?
We crop images to focus on important parts, reduce noise, and make the data smaller and easier for models to learn from.
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beginner
Which coordinates define the crop area in an image?
The crop area is defined by the top-left corner (x, y) and the width and height of the rectangle to keep.
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intermediate
How does cropping affect the training of a computer vision model?
Cropping can improve training by removing irrelevant parts, helping the model focus on key features and reducing computation time.
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beginner
What is a common Python library used for cropping images?
Pillow (PIL) is a common Python library used to crop images easily with simple commands.
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What does cropping an image do?
AChanges the colors of the image
BCuts out a part of the image to keep
CBlurs the image
DRotates the image
Which of these is needed to crop an image?
ANumber of colors
BImage brightness
CImage file format
DTop-left corner coordinates and size
Why crop images before training a model?
ATo focus on important parts and reduce noise
BTo add more colors
CTo increase image size
DTo change file format
Which Python library is commonly used for cropping images?
AMatplotlib
BNumPy
CPillow
DScikit-learn
What happens if you crop an image too small?
AYou might lose important details
BThe image becomes brighter
CThe image rotates
DThe image file size increases
Explain how cropping images can help improve machine learning model training.
Think about what parts of the image the model really needs.
You got /4 concepts.
    Describe the steps and information needed to crop an image programmatically.
    Consider what details define the crop and how to apply it.
    You got /4 concepts.