Counting the features identified

Hi

When I run classification on an image, i am able to extract the top N predicted tags. I can also extract the 1000 or 21000+ length probability array for each class.

Now, for example I have an image of a house with 2 doors. The Classifier can predict door with some probability. I wanted to know if i can tap into some layer of the model to find out how many doors were there ? I am assuming that the classifier will update the probability of the door , if it encounters it for he second time. So, is there a way I can count the number of such tags or such synsets that it has predicted by the classifier ?