A survey of modern deep learning based object detection models

Object Detection is the task of classification and localization of objects in an image or video. 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 the performances of these architectures on multiple metrics. (C) 2022 Elsevier Inc. All rights reserved.

Automated summary

This article introduces the task of object detection and explores recent developments in deep learning-based object detectors. The article also provides a concise overview of benchmark datasets, evaluation metrics, and prominent backbone architectures used in detection, as well as lightweight classification models used on edge devices. Lastly, the article compares the performances of these architectures on multiple metrics.