CPMAI Question 81

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose B1

  Data augmentation enhances the quantity and diversity of training data to make it more robust and useful. Transform, scale, colorize, and rotate images to generate additional training data.

• Chose B1

  Why B is Correct Data Transformation & Multiplication (also called Data Augmentation) artificially increases the size of your training dataset by creating new images from existing labeled images. The labels remain the same, so you get more labeled data without collecting new images. For example, if you have one labeled image of a truck: Original Image ↓ Rotate 15° Flip Horizontally Adjust Brightness Crop Zoom Add Slight Noise You now have multiple training images, all still labeled "Truck."