👉 Segmentalization is a process used in computer vision and image processing to extract features from an input image that are specific to each class or group of objects within it. It involves dividing the input image into smaller, more manageable sub-images, usually by using a set of predefined segments (also known as "segments") that represent different classes or groups of objects. The goal is to identify and retain only those features that are relevant for each class, without overfitting to any particular group of objects.