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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM29918

Monument Detection Using YOLO

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM29918

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM29918

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AA

Ali Ahmed

FS

Faiz Shaikh

ZS

Zulqernain Sarwar

AS

Arslaan Sayyad

NS

Nousheen Shaikh

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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.

Cite This Article

Ali Ahmed, Faiz Shaikh, Zulqernain Sarwar, Arslaan Sayyad, Nousheen Shaikh, "Monument Detection Using YOLO," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM29918

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Publication Date

12/31/45382

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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1

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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