title: labelling of dataset in machine learning
body: <p>I have a question about some basic concepts of machine learning. The examples, I observed, were giving a brief overview .For training the system, feature vector is given as input. In case of supervised learning, the dataset is labelled. I have confusion about labelling. For example if I have to distinguish between two types of pictures, I will provide a feature vector and on output side for testing, I'll provide 1 for type A and 2 for type B. But if I want to extract a region of interest from a dataset of images. How will I label my data to extract ROI using SVM. I hope I am able to convey my confusion. Thanks in anticipation.</p>