A Survey of Modern Deep Learning based Object Detection Models

Object Detection is the task of classification andlocalization of objects in an image or video. It has gainedprominence in recent years due to its widespread applications.This article surveys recent developments in deep learning basedobject detectors. Concise overview of benchmark datasets andevaluation metrics used in detection is also provided along withsome of the prominent backbone architectures used in recognitiontasks. It also covers contemporary lightweight classification models used on edge devices. Lastly, we compare the performancesof these architectures on multiple metric