I have a model, FCN8s, that makes a binary segmentation for a dataset with random objects, person. I obtain the segmantation I have like, 59% Intersection over Union accuracy.
After this i take the weights and try to segmentate brain tumors.
The train loss is decreasing, test loss is decreasing and accuracy (intersection over union) is decreasing (it doesnt exist to say ) 0.03% …Anyone have an idea?