Hi, I have a simple segmentation network.
During training I run my evaluation metrics on a validation dataset which gives good results. But after training when i use the network to predict segmentation mask I get very bad results and the problem is especially peculiar because running prediction on validation set also gives bad results. eval() and training() is properly set during training and validation phase. Is there any idea on whats going on?