Practice Image Augmentation (18.5.5) - Introduction to Computer Vision

Practice: Image Augmentation

Lesson 18.5.5Introduction to Computer Vision

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9 questions

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6 sample questions

Question 1.
What is image augmentation?
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Think about how we can make the dataset larger.
Question 2.
Name one transformation used in image augmentation.
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What can we do to change the image's orientation?
3Question 3.
What is the primary purpose of image augmentation?
- To resize images
- To increase dataset diversity
- To compress images
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Think about why we might want more types of images.
4Question 4.
True or False: Image augmentation can help prevent overfitting.
- True
- False
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What happens when a model learns too much detail?
Question 5.
You have a dataset of animal images for a classification task. Design a comprehensive image augmentation strategy including at least five different transformations to improve model performance.
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Think about what changes can help the model recognize animals from different angles.
Question 6.
Evaluate the effectiveness of an image augmentation technique by running experiments on a small dataset. Compare the performance of the model with and without augmentation.
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Consider metrics that indicate generalization improvements.

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