Subject
Computer Science
Topic
Artificial Intelligence
Why is data augmentation such as small rotations useful in image training?
Why is data augmentation such as small rotations useful in image training?
a)
It removes every classb)
It increases useful variation and can improve generalizationc)
It reveals test labelsd)
It guarantees perfect accuracyExplanation
Label-preserving transformations expose the model to plausible variation and reduce overfitting.Related questions
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