I want to detect errors in images and I have the labels for the classification. If there is an error in the image I also have the location for that. So what I can do now is:
- normal classification (good vs bad)
- normal regression (location of error in an image, FlowField)
Now I want to combine these tasks. So what I propably have to do is:
- adapt databunch
- adapt network
- adapt loss function
I guess I can manage point 2 and 3, but I have problems with point 1.
Can I use the MixedItemList class for that?
Thanks for helping out here.