Object Detection Using Machine Learning : A Comprehensive Review

Abstract

This research paper provides a comprehensive review of the advancements in object detection using machine learning techniques. Object detection plays a crucial role in computer vision applications, enabling the identification and localization of objects within images or videos. With the rapid growth of image and video data, machine learning approaches have become increasingly popular due to their ability to learn and recognize objects with high accuracy. This paper aims to explore the various machine learning algorithms and methodologies employed in object detection, including traditional methods and deep learning-based approaches. The findings of this review will provide researchers and practitioners with valuable insights into the advancements, challenges, and future directions in object detection using machine learning.