How do I preprocess images for a Keras model?

How do I preprocess images for a Keras model?

To preprocess images for a Keras model, you can use the ImageDataGenerator class to rescale, augment, and preprocess your images.

What kind of augmentations can I apply?

You can apply augmentations like rotation, width/height shift, shear, zoom, and horizontal flip to enhance your dataset.

How do I implement these augmentations in code?

You can implement it like this:

from keras.preprocessing.image import ImageDataGenerator

datagen = ImageDataGenerator(
    rotation_range=40,
    width_shift_range=0.2,
    height_shift_range=0.2,
    shear_range=0.2,
    zoom_range=0.2,
    horizontal_flip=True,
    fill_mode='nearest')

Can I use this for both training and validation datasets?

Yes, but typically you only apply augmentations to the training dataset to prevent overfitting. The validation dataset should remain unchanged.