Object Localization

An image classification or image recognition model simply detect the probability of an object in an image. In contrast to this, object localization refers to identifying the location of an object in the image. An object localization algorithm will output the coordinates of the location of an object with respect to the image. In computer vision, the most popular way to localize an object in an image is to represent its location with the help of bounding boxes.

Shows an example of a bounding box.

A bounding box can be initialized using the following parameters:

• bx, by : coordinates of the center of the bounding box
• bw : width of the bounding box w.r.t the image width
• bh : height of the bounding box w.r.t the image height