Abstract
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. In this domain of object detection, it includes many detecting methods , such as face detection and also pedestrian detection. Object detection has applications in huge areas of computer vision, which includes image retrieval, video surveillance. Deep Neural methods in object detection using one-stage processes generally include di erent versions of YOLO and SSD. The paper which we are publishing here we are comparing some the image detection algorithms. In this project we are going to develop a system for visually impaired people for assisting them in their daily work and give them a free life.
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