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Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Unveiling Urban Amenities: A Study on Automated Detection Techniques

Kunal PohakarStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, Navi Mumbai, Maharashtra, IndiaParth PisatStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, Navi Mumbai, Maharashtra, IndiaMohammad RahilStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, Navi Mumbai, Maharashtra, IndiaYash RawoolStudent, Smt. Indira Gandhi College of Engineering, Ghansoli, Navi Mumbai, Maharashtra, IndiaProf. Sonali DeshpandeProfessor, Dept. of AI & ML, Smt. Indira Gandhi College of Engineering, Ghansoli, Navi Mumbai, Maharashtra, India

Vol 8 No 4 (2024): Volume 8, Issue 4, April 2024 | Pages: 229-235

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 10-05-2024

doi Logo doi.org/10.47001/IRJIET/2024.804033

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Abstract

This project delves into the realm of automated property analysis through the lens of amenity detection using the Detectron2 framework. Leveraging the advancements in computer vision and deep learning, the project aims to develop a robust model capable of accurately identifying and categorizing various amenities within room images. Termed "Amenity Detection using Detectron2," the endeavors seeks to streamline the process of property assessment by automating the identification of indoor amenities. Through a combination of sophisticated algorithms and innovative technology integration, the project showcases the potential of AI-driven solutions in revolutionizing real estate analysis. By providing a comprehensive tool for amenity recognition, this research endeavors to empower property analysts, interior designers, and real estate professionals with efficient and accurate insights into property features.

Keywords

Amenity Detection using Detectron2, Computer Vision, Deep learning, AI-driven Solutions, Algorithms


Citation of this Article

          

Kunal Pohakar, Parth Pisat, Mohammad Rahil, Yash Rawool, Prof. Sonali Deshpande, “Unveiling Urban Amenities: A Study on Automated Detection Techniques”, Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 8, Issue 4, pp 229-235, April 2024. Article DOI https://doi.org/10.47001/IRJIET/2024.804033

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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