Introduction to Object Detection

Detecting and classifying objects in images is a challenging problem. So far, we have treated the issue of image classification on a simple level; in a real-life scenario, we are unlikely to have pictures containing just one object. In industrial environments, it is possible to set up cameras and mechanical supports to capture images of single objects. However, even in constrained environments, such as an industrial one, it is not always possible to have such a strict setup. Smartphone applications, automated guided vehicles, and, more generally, any real-life application that uses images captured in a non-controlled environment require the simultaneous localization and classification of several objects in the input images. Object detection is the process of localizing an object into an image by predicting the coordinates of a bounding box that...