After training a model consists ~ 50k dataset of segmentation images, I want to be sure my parameters and models are optimize before deploy my model.
My interest point is that what target should I try to improve after getting above %90 IoU acc and how can I be sure about my hyperparameters and my model is working as best as it can be ?