I am trying to build a classifier combining image data and tabular data.  So far, I have a trained a resnet50 on rgb images to predict one of 783 classes.
In addition to the image dataset, I also have some tabular data (.csv file) which I would like to use. Namely, the country and zones (~continent) in which the images were taken. There are 188 countries and 8 zones. Imagine these are vectors already, e.g. one-hot encoded. How could I add this information to the fully connected layer of resnet50 and fine-tune the model?
I can draw the process in my head but I struggle to code it…  Which should be my next steps?