Monument Detection Using YOLO

Abstract

In this Paper we’re going to cover the details of our project, Monument detection. The idea of this project is basically to bring an innovative and more realistic approach for the tourism field. What is to be implemented in this project and how it works is as such. As we know that tourism is one of the fields in the economic world that never stops. We always have numerous tourists always visiting the number of monuments and places throughout the world, on adventures, on the the side note most people prefer to be on their own, exploring these varies places. This is where our project starts being useful. Our goal in this is to make an API/Application that is will let these types of tourists and most for all cause to be independent and resourceful while exploring the ends of the world, using the camera device allowed to be operated through this application, we tend to run an algorithm that will find out what monument or historic architecture that is displayed when the camera through the application is pointed at it. The application will also provide insights on what the image for instance the history behind it and all the event that caused it, and all the information that the tourist will require on his adventure. Keywords—Data Collection and Pre-processing, Machine Learning Models based, Prediction and Visualization, Real-time Update.