Its for an ongoing Kaggle comp (with very strict rules) so I can’t go into much more detail than that - sorry! As for the transforms, I am just using the defaults from
transforms_top_down that is included with fastai.
Just generally speaking though, do you think it sounds logical that the augs could be so heavy on training that they would throw off validation loss (no augs) and yet do well on TTA since augs are back?
Also while its quite straight forward usually with dogs/cats vs satellite imagery which type of augs to use, but I am sorta in a “hybrid” situation where its a tough call whether or not to go with
top_down Its hard to explain but basically imagine that there is some “thing” on top of another “thing” and the thing on top could be varying a lot in shape/size yet the thing below it is very consistent in its position yet could still vary somewhat in shape/size.
Anyway I appreciate any feedback you might have given the extremely vague details I could provide!