Classification : Labelling of an object with no bounding box
Localization : Classification of an object with bounding box
Detection : Locallizing multiple objects
In our model, we bound image with labels and send it in a convolutional net and softmax will give us the classification.
%y = pc does image have any object/ objectness score,
% bx bounding box cordinates,
% by
% bz
% bw
% c1 probability of class 1,
% c2 probability of class 2,
% c3 probaiblity of class 3,
loss = (y1-yp1)^2 + (y2-yp2)^2 + ...
We do this in our feature map by Conv