So far, we have demonstrated how to use the classification model to classify an image, for example, to use binary classification to find if an image contains the handwritten digit 1 or not. In the next section, we will see how to use supervised machine learning models, not only to check whether an object is in an image or not, but also to find the location of the object in the image (for example, in terms of a bounding box—a rectangle the object is contained in).