I think that when you have the annotated bounding boxes of the target you can have more flexible solutions about the resolution and you can have more specific augmentation specially if your dataset is small (33 classes over 1000 images it doesn’t seems to me too rich).
But you first goal now is still to achieve a decent overfit of your train dataset.