Analysis of Image Classification Using Machine Learning Approach

Among the technologies that are utilized in the research and development of contemporary science and technology, image classification is an essential technology. Scholars from a variety of nations have not only become proficient in the application of a significant amount of theoretical knowledge, but they have also established a solid foundation for the categorization of images and the description of their features. One of the most significant methods in the field of machine learning is known as support vector machine, and it has been utilized extensively in the process of image identification and classification. In the process of researching the application technology of image classification based on support vector machine, researchers from both the United States and other countries primarily focus on analysing the characteristics of image forms, textures, colours, and spatial relationships. In this Paper, the primary focus is on the application of support vector machine in image classification, with the purpose of evaluating its efficiency via the use of actual examples and calculate Performance mesearurment. Using the existing knowledge of image classification and support vector machine research as a foundation, it intends to make a contribution to the development of network technology research in the new era.