Evaluate the impact of an AI application used in the real world. (case study) : Working with X-Ray images: Case Study -

The video tutorial discusses handling large image sizes, particularly gray images without RGB channels. It emphasizes the importance of mindful data augmentation, avoiding techniques like vertical flipping or center cropping that could distort data. The tutorial also covers preprocessing methods, including feature-wise centering, standard normalization, and rescaling, to prepare images for training models.

How does the concept of feature-wise normalization apply to image data?

Discuss the significance of maintaining the response during data augmentation.