Object detection deals with the process of locating instances of a certain class of real-world objects, such as faces, cars, pedestrians, and buildings in images or videos. Detection algorithms typically start by extracting features from two sets of images. One of these sets contains images from the desired object and the other one contains background images where the searched object is not present. Then, the detector is trained based on these features to recognize future instances of the object class.