I am following this tutorial for image segmentation using Tensorflow 2.8.
I have a dataset of images and their annotations which I want to use for semantic segmentation. How can I use this model with a custom dataset?
They are using a sample dataset here
dataset, info = tfds.load('oxford_iiit_pet:3.*.*', with_info=True)
My dataset has two folders with images and their annotations (single class), similar to the input and mask image shown in the tutorial. How can I use those images to train the model shown in this tutorial?
