Data Augmentation Strategies for Enhancing Object Detection Performance

Abstract

Object detection and localization are pivotal tasks in computer vision that involve identifying and locating objects within images or videos. Recent advancements in deep learning have significantly enhanced the performance of these tasks, leading to breakthroughs in various domains such as autonomous driving, medical imaging, and robotics. This paper provides a comprehensive review of the state-of-the-art techniques in object detection and localization, explores their applications, and discusses emerging trends and future research directions.