Background

Object detection, also called object localization, is the process of detecting objects and their bounding boxes in an image. A bounding box is the smallest rectangle of an image that fully contains an object.

A common input for an object detection algorithm is an image. A common output is a list of bounding boxes and object classes. For each bounding box, the model outputs the corresponding predicted class and its confidence.