Hi everyone,
I’m working with a resnet50 model to make some predictions on some complex images. I have also a consistent quantity of synthetic images similar the real ones. Problem is that my model has to be trained only on synthetic images and be evaluated on real images. During training phase I get low validation accuracy (around 10%). So, my question is if there exists some techniques to convert one particular real image into a synthetic one or viceversa? thank you.