In my “simple” use case I describe a single crop, so that a single model would also get only one input and predict the class.
If you have multiple crops, you would have to think about how multiple crops of the same image should be treated:

single model with multiple forward passes → prediction is a weighted mean?
multiple models → would this work for the use case or are the crops imbalanced and one model might not be trained enough
…