MULTIPLE OBJECT DETECTION USING YOLO V5

Abstract

Object detection in images and videos is a computer vision task that involves identifying and localizing objects of interest within an image or video. The goal is to accurately and efficiently identify objects within an image or video and provide information about their position and classification. Here we are using deep learning-based object detection algorithm YOLO. This model is trained on large datasets of labelled images and videos and is capable of detecting objects in real-time. Object detection in images and videos has many practical applications, including self-driving cars, video surveillance, and content-based image retrieval. It is a challenging and exciting area of computer vision that continues to advance with new research and technology.