2026-10-08T22:03:23Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/3460 2021-12-13T05:53:38Z 1582963302567:1597824273898 user-ucsy

Object Detection Using Regions with Convolutional Neural Networks (R-CNN) Cherry, Hnin Sein, Myint Myint With an importance of artificial intelligence intoday’s world, deep learning technology hasdeveloped very powerful in solving many problems invarious fields that is included in speech recognition,natural language processing, computer visiontechnologies, image processing and video, anddifferent kinds of multimedia. Due to the developmentof deep learning approach, visual recognitionsystems have achieved in good performance. With theincrease of smart application in visual recognition,powerful object detection systems are necessarilyneeded. In detecting objects, object classification isas a very important role. Deep Neural Network(DNN) can greatly achieved in classifying objects. Inthe experiment, object detection system for stop signis implemented by using Regions with ConvolutionalNeural Networks (R-CNN) that is used to classifyimage regions included in an image. The systemintended to provide object detection accurately. 2019-02-27 http://hdl.handle.net/20.500.12678/0000003460 https://meral.edu.mm/records/3460