What is the difference between Semantic and Instance Segmentation in Machine Learning?
Courtesy: Wikimedia What is segmentation of image in machine learning? In the field of computer vision in machine learning, an image can be broken into segments by learning a mask for each segment. Image segmentation is used to locate object boundaries (lines, curves etc.) and assign a label to each pixel. For example, this is from opencv documentation (watershed algorithm) where boundaries of a set of coins are learnt: Original Image Semantic Segmentation Mask Learnt from Original Image Sudo Exam Tip: Remember to recall image segmentation as a technique when there is a mention of classification of objects in an image at pixel level....