QuestionQ67

Content Breakdown

What is the main purpose of applying different image-transformation techniques, such as flipping, rotating, and zooming, to a dataset?

  • A To simplify the model's architecture, making it easier to interpret the results.
  • B To artificially expand the dataset's size and improve the model's ability to generalize.
  • C To reduce the computational resources required for training deep learning models.
  • D To ensure perfect alignment and uniformity across all images in the dataset.
Explanation

Image data augmentation generates realistic variations of training examples, effectively enlarging and diversifying the dataset so the model is more likely to generalize to unseen images.

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