Image Scenario classification using Machine learning

Abstract

Image Scenario classification is widespread for many IoT applications. Classifying scenario helps in making proper decisions. The study aims at classifying six different scenarios using a deep neural network algorithm. The proposed InceptionV3 classification algorithm could predict the scenarios and achieve 92.00% accuracy. A quick comparison is shown with the traditional machine learning algorithms, SVM and MLP. The study shows the power of the deep neural algorithm and classifies the scene image dataset with higher precision.