This is a very simple question but I haven’t been able to find an answer using google.
I want to train a model that takes as input an image and returns another image (which I want to be the same as the first).
I have a directory with my image files in it, I just can’t find how to set the expected images output for training with tf.keras.utils.image_dataset_from_directory
It looks to me like you want to train a convolutional autoencoder. When loading images using tf.keras.utils.image_dataset_from_directory, your images must be stored in the format
This will return a tf.data.Dataset having both images and labels. Since you are training an autoencoder, the labels aren’t that important so set label_mode=None to get only the images. During training, you supply your images as both x and y.