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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is image augmentation?
💡 Hint: Think about how we can make the dataset larger.
Question 2
Easy
Name one transformation used in image augmentation.
💡 Hint: What can we do to change the image's orientation?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of image augmentation?
- To resize images
- To increase dataset diversity
- To compress images
💡 Hint: Think about why we might want more types of images.
Question 2
True or False: Image augmentation can help prevent overfitting.
- True
- False
💡 Hint: What happens when a model learns too much detail?
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
💡 Hint: Think about what changes can help the model recognize animals from different angles.
Question 2
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.
💡 Hint: Consider metrics that indicate generalization improvements.
Challenge and get performance evaluation