In this chapter, we will learn about the image classification problem, which is a supervised machine learning task of assigning (the most likely) label to an input image from a fixed set of labels (categories ). We will also learn how to classify images using different Python libraries. This is one of the core problems in image processing that has a large variety of practical applications. Moreover, many other seemingly different image-processing tasks (such as object detection and segmentation) can be reduced to image classification. Image classification refers to the process of assigning a label to (that is, classifying) an image based on its visual content. For example, a binary image classification algorithm (model) may be developed to predict whether a human is in an image.
In this chapter, you will primarily learn how to implement two types of image...
