Hi,
I used the fine tune mask rcnn tutorial to train a model to differentiate weeds from crops using the CFWID dataset (available on github), and the results look a little bit wired, even though I am aware that the number of training samples in the dataset is far from enough for the model to work (60 in my case).  007_pred720×576 94.9 KB 009_pred720×576 101 KB 012_pred720×576 91.2 KB
The model predicts some regions as both weeds and crops, and these regions have large overlap (IoU). I was wondering if there is any mistake I made in the data format processing? Does mask rcnn perform some non-maximal suppression to avoid such predtctions? Thank you in advance.