Neural-Network-Experiments
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have a non-identifiable class.
Hey, I think having a class that is "non-identifiable" helps avoid classifying images that it hasn't seen?
As far as I'm aware, the program gives a confidence value for each thing it is aware of. A "non-identifiable" type is implicit if it can give low confidence to every possible type.
Eg:
80% confidence on both tractor and cruise ship
- AI thinks it could be either
80% confidence on tractor, but 12% on cruise ship
- AI thinks it's a tractor
12% confidence on both tractor and cruise ship
- AI doesn't think it's either
it just never does that because the the answer is never neither
if you wanted it to be unsure more you would have to add random images to the data sets
(I think, don't quote me on this, I don't really know what I'm doing)