With the rise of autonomous cars, facial detection, smart video surveillance, and people-counting solutions, fast and accurate object detection systems are in great demand. These systems include not only object classification from an image, but also location of each one of the objects by drawing appropriate bounding boxes around them. This (drawing bounding boxes and classification) makes object detection a harder task than its traditional computer vision predecessor, image classification.
To understand what the output of object detection looks like, let's go through the following diagram:
In the preceding diagram, we can see that, while a typical object classification merely mentions the class of object present in the image, object localization draws a bounding box around the objects present in the image. Object detection, on the other hand, would involve drawing the bounding boxes around individual objects in the image, along with identifying the class...
