• Resizing: All images are resized to a uniform dimension (e.g., 224x224 pixels) to match the input requirements of the CNN. • Normalization: Pixel values are normalized to a range of [0, 1] or standardized to have a mean of 0 and a standard deviation of 1, which helps improve convergence during training.