Object Detection Using Regions with Convolutional Neural Networks (R-CNN)

Abstract

With an importance of artificial intelligence in today’s world, deep learning technology has developed very powerful in solving many problems in various fields that is included in speech recognition, natural language processing, computer vision technologies, image processing and video, and different kinds of multimedia. Due to the development of deep learning approach, visual recognition systems have achieved in good performance. With the increase of smart application in visual recognition, powerful object detection systems are necessarily needed. In detecting objects, object classification is as a very important role. Deep Neural Network (DNN) can greatly achieved in classifying objects. In the experiment, object detection system for stop sign is implemented by using Regions with Convolutional Neural Networks (R-CNN) that is used to classify image regions included in an image. The system intended to provide object detection accurately.