Hi There, I wonder what would happen if I use the same Image I use for training process in the testing ? Is this some kind of bad practice ? Since the dataset is very specific.
Just to visualize it better, if I train a network to recognize my self I will put as much of info for every angle possible for it to train that it’s me. And now I want to make sure that in every angle that I taken the Network can recognize me hence why I use the same Image for testing.
Is my question make any sense ? Since I want to know if it kind of bad idea that will effect the training accuracy. FYI I’m usally just split the image but since the testing image is kind of not being trained (too far different angle) so the result it not that good for that specific angle but good for the other angles