I’m working on a polimago application where I have a pretty large dataset and the goal is to detect a specific type of leaf on a young plant. The problem is that the size of that leave, while pretty consistent in shape, varries quite a lot in size.
I have troubles with selecting the right image size; polimago demands that this must be the same size for the entire model, but that isn’t the case in my specific case. Since polimago can actually report a scale (and the information on the estimated scale of the found leaf is pretty useful) how should I deal with this? Also, those pesky leaves are never so considered to be axis aligned; further agrevating the bounding box issues.
This boils down to 2 concrete questions:
-How to deal with rotated elongated objects
-How to deal with varying sizes in the training set.