Trying to understand these three concepts. They used in deep learning.
Classification is the simplest one, where you try to assign a class to given data. Data here can be an image, an audio or even an ecg signal.
If you want find a position of the classified data then we use detection.
Segmentation is similar to detection, but here we try to find all the locations of the object, often at the pixel level.
I will try to add examples for each of them in the future.