Object classification and segmentation – both are part of machine learning based image processing to train the AI algorithms through computer vision. And both are important for object recognition precisely in machine learning and AI development.

How they are Different from Each Other?

Though, first one is a kind of more precise classification of objects in an image of a single class, while later one simply classify the two different objects in a single image. Image annotation techniques are used classify such objects while in semantic segmentation the objects are detected, classified and segmented for computer vision.

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