it’s a great app and the guide is great too. much appreciated!
it’s not a criticism. just a question on image classifiers in general. say to classify cats vs dogs, that’s great accuracy is fantastic. however if you upload picture of a horse for example, it will not tell you that the picture is ‘neither cat or dog’, it will rather assign one of classes ‘cat’ or ‘dog’, the one with higher probability. but clearly it’s not a cat or dog. so i am thinking on how to work with this. one way will be to give confidence in the classification, so user can judge also based on that score.
is there another way to do it?
so cats and dogs are simple problems for people to solve and this problem may seem not relevant. however if the classification was on things that people can’t tell the difference and were relying on DL to make decision, like city pictures from satellite, or some medical condition, that would be more relevant, no?
what’s your thoughts?