excuse me…?
I fed this model with my own dataset and here is what I got:
‘labels’: tensor([1, 1, 1, 1, 1, 1], device=‘cuda:0’),
‘scores’: tensor([0.9990, 0.9987, 0.9987, 0.9889, 0.2024, 0.0583]], device=‘cuda:0’).
Why the labels of the last 2 are positive while their scores are so low? If the the score comes from the output of softmax classification, shouldn’t it be at least over 0.5 when only 2 classes, target and background?