Research on AI-Based Target Detection Technology for Sports Images

With the rapid development of artificial intelligence, deep learning-based target detection technology has been widely applied in various fields. Sports images, as a special application scenario, present new challenges for target detection due to their complex actions and rapidly changing targets. This paper aims to study AI-based target detection technology for sports images by analyzing and improving existing detection algorithms and proposing an optimized detection algorithm suitable for sports scenarios. First, the paper outlines the basic theories of AI and target detection technology, then analyzes the characteristics of sports images and the current application status of detection algorithms, and finally designs and implements a target detection system for sports images. Experiments validate the proposed algorithm’s effectiveness and superiority in various sports scenarios. This research provides a theoretical foundation and technical support for applications such as sports analysis, intelligent refereeing, and athlete training.