How can I use data augmentation in TensorFlow Keras?

How can I use data augmentation in TensorFlow Keras?

You can use the ImageDataGenerator class in Keras to apply various augmentation techniques like rotation, zoom, and flip.

Can you show me a code example for that?

Sure! Here's a simple example:

from tensorflow.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'
)

What types of augmentations are available?

You can apply augmentations like rotation, width/height shifts, shear, zoom, and horizontal/vertical flips.

How do I visualize the augmented images?

You can use Matplotlib to visualize the augmented images by generating batches and plotting them.