MULTIPLE OBJECT DETECTION IN IMAGES USING YOLO

Abstract

Object detection is a technology that includes computer vision that deals with detecting instances of objects of a certain class(Such as humans,animals,cars etc.) in images.Object detection has been attracting much interest due to the wide spectrum of applications that use it. Object detection technology has been driven by an increasing processing power available in software and hardware. In this work we present a developed application for multiple object detection based on OpenCV libraries. The complexity-related aspects that were considered in the object detection using YOLO. The proposed application deals with real time systems implementation and the results give an indication of where the cases of object detection applications may be more complex and where it may be simpler.Detection is a process to identify and detects object in images.This project is designed to resemble the way a human brain function.It helps us to detect the objects present in one particular image and also tell us what that object with the help of bounding boxes and name label of that object along with probability score.

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