Supervised machine learning – object detection

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).

Face detection with Haar-like features and cascade classifiers with AdaBoost – Viola-Jones

As we have discussed briefly in Chapter 7, Extracting Image Features and Descriptors, (in the context of Haar-like feature extraction), the Viola-Jones' object detection technique can be used for face detection in images. It is a classical machine learning approach, where a cascade function is trained using a training set of positive and negative images, by using the hand-crafted Haar-like features...