I am working on an object detection model and have thought of looking into stratified splits for the dataset.
Now since I am doing object detection I have a variable number of "labels" for every image because in each image there is variable number of occurrences for each object I am looking for (car, truck, motorbike, etc.).
Obviously single-label stratification does not apply.
From what I understand multi-label stratification is only applicable if there are basically label "features" that we know are always present, which does not seem the case here.
My question is... is there a way to perform stratified split in this case so that in each split there is roughly the same number of cars/trucks/bikes/etc.? (Or is it going to actually improve the results at all?)