I am working with 2048x2048 px medical X-ray images, and I have two datasets.  One dataset is a _ dream come true <3 _ : nice, clean, and pixel-wise segmented.  This really helps in training a segmentation network.
I also happen to have a second dataset, which is clean and nice but does not have pixel-wise segmentation.  Instead this dataset has a “Quadrant” feature which points to where the issue lies.
What would you do with the second dataset?  Will love to hear some thoughts!