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Image Preprocessing

Image Preprocessing

Image preprocessing prepares the dataset before training the model. Proper preprocessing helps improve the model's performance and training efficiency.

Some common preprocessing steps include:

  • Loading the dataset
  • Normalizing pixel values
  • Preparing training and testing data
  • Displaying sample images

These steps ensure the data is ready for deep learning.