A Survey and Comparison of Artificial Intelligence Techniques for Image Classification and Their Applications

This paper focuses on a case study of a number of image classification algorithms which include decision trees, k-nearest neighbours, deep neural networks, Convolutional neural networks, Support vector machines and random forest. The three main algorithms SVM, RF and CNN have been elaborated due to their varying approaches to classification. They have been juxtaposed with their applications in various domains which are an influence in technology. This paper also discusses the multiple advantages and disadvantages of the aforementioned algorithms.