What TensorFlow tool is best used to automatically load, resize, and flip images from folders for training a computer vision model?

The TensorFlow tool best used to automatically load, resize, and flip images from folders for training a computer vision model is `tf.keras.utils.image_dataset_from_directory`, which generates a `tf.data.Dataset`, subsequently processed with `tf.data.Dataset.map` operations for transformations like flipping. A computer vision model is an artificial intelligence model designed to interpret and understand visual information, such as images. TensorFlow is an open-source machine learning framework. `tf.keras.utils.image_dataset_from_directory` is a high-level utility function that simplifies the process of loading images from a directory structure. It automatically scans the specified folder, infers class labels based on subfolder names (e.g., if images are in a folder named 'cats', they are assigned the 'cats' l....