Abstract
Abstract: For many centuries, statistics have been used as a prediction tool, until recently data science evolved. When hunting for a house, you may want to check out all the amenities the house has, to know if the house is really worth the price mentioned in any real-estate dealer website. To find so, image classification models are widely in use which first categorizes the photos listed on the website into different rooms and then finds the amenities present in the room by object detection algorithm [2]. Through Computer vision, we get a better understanding of the image/video which eases our house hunt. A comparative study between machine learning algorithms used in the state of art model and my proposed model for detecting amenities with a higher precision rate is produced in the upcoming sessions. Keywords: Dataset, Machine Learning
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal for Research in Applied Science and Engineering Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
