Introduction and Motivation : - We are already familiar with the image classification task where an algorithm looks at this picture and might be responsible for saying this is a car shown in fig.1.(a). This is what we mean by classification. In fig.1.(b)., classification with localization means not only do we have to label this as say a car but the algorithm also is responsible for putting a bounding box, or drawing a red rectangle around the position of the car in the image. The term localization refers to figuring out where in the picture is the car, we've detective. The detection problem where now there might be multiple objects in the picture as sown in fig.1.(c)., and we have to detect them all and localized them all. So, the ideas we've learned about for image classification will be useful for classification with localization. And that the ideas we learn for localization will then turn out to be useful for detection. Mandatory face mask rules are becoming more com...