Hello everyone,
I am a pure beginner with deep learning.
I have used NVIDIA DIGITS to train a neural network against my own image dataset. I have managed to obtain very strong accuracy, the system always detects the right objects within my own image dataset. However when I provide the system with an image which doesn’t contain any objects from my image dataset, it still gives me high accuracy percentage. Is there any way of getting the accuracy percentage lower given I provide the system with an image which doesn’t contain an object within my image dataset.
I’d appreciate any sort of help and apologies if I was unclear.
Thanks.