It has gained prominence in recent years due to its widespread applications. This article
surveys recent developments in deep learning based object detectors. Concise overview of
benchmark datasets and evaluation metrics used in detection is also provided along with
some of the prominent backbone architectures used in recognition tasks. It also covers
contemporary lightweight classification models used on edge devices. Lastly, we compare …