Research Advanced in Technology and Applications of Image Recognition Based on Deep Learning

Abstract

Image recognition is a fundamental research problem in the field of computer vision, which aims to build models to recognize the category of a given image. Early image recognition methods mainly relied on artificially designed features, and their performance could not meet actual application needs. Thanks to the rapid development of deep learning technology, convolutional neural networks can extract deep information from images to better represent image semantics. Therefore, image recognition based on convolutional neural networks has attracted a lot of research attention in recent years and has been widely used in many fields. Focusing on image recognition and its applications, this paper first introduces common image recognition frameworks, and focuses on the latest research progress in image recognition based on deep learning. Then, this article summarizes the scientific research results of deep learning in agriculture, medicine, transportation and other application fields in recent years. Finally, this paper discusses the development trend of deep learning in the field of image recognition, and expounds the future development trend of image recognition.