Landmark Prediction Using Deep Learning

Abstract

Landmark Recognition Is A Crucial Task In The Field Of Computer Vision With Applications In Tourism, Navigation, And Cultural Heritage Preservation. This Paper Presents An Approach Utilizing A TensorFlow Hub- Based Deep Learning Model For Landmark Classification. The Model Processes Uploaded Images, Predicts Landmarks, And Provides Geographical Locations With Map Visualization. Our Implementation Is Built Using Streamlit, Offering An Interactive Web Interface For Seamless User Interaction. Additionally, The System Integrates Geolocation Retrieval To Enhance The User Experience By Displaying The Landmark’s Precise Address And Coordinates. The Proposed System Demonstrates The Effectiveness Of Leveraging Deep Learning For Real- World Landmark Detection.

Keywords