Abstract: Object detection has recently become one of the popular technology around the world. It is based on Deep learning and neutral network which is a branch of artificial intelligence. Object detection is used to detect instances of semantics objects of certain class like pedestrians, vehicles, animals etc. There are various algorithm’s that are used in object detection like CNN (Convolution Neutral Network), R-CNN (Region Based Convolution Neutral Network), faster R-CNN and YOLO(You only look once) Out of all YOLO perform outstanding performances it is fast and it is used in real time. As the name says it only look at image once and provide high accuracy.

Keywords: Object detection, YOLO algorithm, Deep learning, Neutral network

PDF | DOI: 10.17148/IJARCCE.2020.9308

Open chat
Chat with IJARCCE