Deep Learning in Object Detection: Advancements in Machine Learning and AI

Abstract

This article provides an overview of object detection and its significance in various applications. Object detection, a process that detects images of visual objects, encompasses tasks such as number plate recognition, face detection, text detection, and pedestrian detection. The article emphasizes the role of deep learning in enhancing the accuracy and speed of object detection, making it a powerful method in machine learning. It explores recent studies and advancements in visual recognition, with a focus on the applications of deep learning in fields like healthcare, robotics, and smart agriculture. The paper also delves into research in object detection, including the use of deep learning in remote sensing, video surveillance, and medical imaging. Finally, the article discusses the future scope of deep learning, highlighting its potential impact on various industries and domains.