A Comprehensive Review on Technological Advancements in Object Detection Deep Learning Models

With the advancement of technologies object detection has attracted the massive interest in the field of computer vision in recent years. Different models has been proposed in last two decades still some issues remains lacking. In order to understand the developments in the field of deep learning a comprehensive survey has been designed which comprises of the existing object detector models and several benchmark datasets. Now-a-days, the integration of modern technologies has boosted the object detection activities due to high potentialities to anticipate assistance to consumers in different fields. The impulse towards the technological advancement in object detection has revived the state-of-the-art methods with high adoption has started in several applications such as agriculture, robotics and autonomous system, medical, transportation, surveillance, defence, and in daily life has also detailed in the literature. Additionally, the paper shown the current trends, challenges, and future research direction in the field of deep learning as well as in-deep analysis of their technical challenges.