Monument Recognition Using Deep Neural Networks

Abstract

In this paper, we have classified the famous Indian Monuments across the Golden Quadrilateral. A well-known Deep Learning architectural model has been adopted to provide on-time and striking accuracies for classifying the images. A deep learning library has been used for all the training computations on the classifier for the dataset generated using a web crawler. The concept of Transfer learning has been used to prune the computational load. The last layer of the architecture is retrained as per the training set. Once the model is fully trained, the model is tested on a few arbitrary images to determine the test accuracy of the model.