HERITAGE CATEGORIZATION OF MONUMENTS USING DEEP LEARNINGHERITAGE CATEGORIZATION OF MONUMENTS USING DEEP LEARNINGHERITAGE CATEGORIZATION OF MONUMENTS USING DEEP LEARNING

HERITAGE CATEGORIZATION OF MONUMENTS USING DEEP LEARNING

Mrs. CH. Sudha

Assistant professor(dept. of IT)

chinnakkasudha_it@mgit.ac.in

Bogoju Laxmi Vikas

Student (MGIT)

blaxmivikas_it201213@mgit.ac.in

Ambati Sai Teja

Student(MGIT)

asaiteja_it201204@mgit.ac.in

Rishitha Cheruku

Student(MGIT)

rcheruku_it201245@mgit.ac.in

Abstract- One of the most important tasks in the digital documentation of cultural heritage is the classification of the photos that are taken when measuring an architectural asset. Since many images are typically handled classifying them is a laborious process that takes a lot of time and is prone to error. Additionally properly categorizing the existing images enables more effective management and searches using particular keywords supporting the tasks of researching and analyzing the relevant historical asset. This articles primary goal is to classify photos of architectural heritage using deep learning-based techniques. By creating different pictures of the specific landmarks along with their geo-locations (latitudes longitudes and landmark coordinates) we can use this project to create a variety of landmarks that are present in a given monument.

            Keywords: geolocations, prone to errors