Indian Visual Arts Classification Using Neural Network Algorithms

Visual Arts reflect the knowledge gained by humans within an era. These arts assist in insight into the progress in the sphere of culture, history, and lifestyle. In recent years, the digitization of Indian Visual Arts has initiated the promotion of tourism across the globe. The digitization is producing repositories. These repositories can be explored to accomplish different research as classification. Now, moment comes to do work for classification of the Indian Visual Arts. The classification can be performed using different models of Neural Networks. Two models of Neural Networks, AlexNet and CNN fc6, were used in the study. The results of models were investigated based on the performance evaluation matrices classification accuracy, precision, recall, and F1-score. The classification accuracy for the AlexNet model was best among both models. For AlexNet, the classification accuracy, precision, recall, and F1-score were seventy-two percent, seventy-one point eight eight, sixty-nine point six seven, sixty-seven point nine nine, respectively.