ADVANCE LEGACY MONUMENTS CATEGORISING

Abstract

A monument is a physical structure built or created that is dedicated to a person, event or purpose. Monuments
become relevant to a group as a part of their history or culture due to their artistic, historical, political, technical,
or architectural importance. Monument recognition is a challenging problem in the domain of image
classification due to huge variations in the architecture of different monuments. Different orientation of the
structure plays an important role in the recognition of the monuments in their images. People belonging to the
various cultures, castes, creeds and religions takes pride in their culturally rich heritage bestowed upon them in
the form of monuments. There is a need to digitally recognize and archive the monuments as an important
historical and cultural heritage site.
The main objective of our project is the application of techniques based on deep learning for the classification of
images of heritage, specifically through the use of convolutional neural networks.The state-of-the-art Deep
Convolutional Neural Networks (DCNN) is used for the recognition of monuments through satellite images of
monuments. Machine Learning and Deep Learning are advancing, spurring progress in image recognition.
Heritage Identification combine traditional machine learning with computer vision techniques.