Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Vol. 28, 26 December 2023
* Author to whom correspondence should be addressed.
With the rapid development of computer technology, the concept of computer vision has been proposed. Since then, many object recognition methods have been developed to lay the foundation for computer vision. Object recognition is vital in various computer vision applications, such as autonomous driving, surveillance systems, robotics, and other areas. The You Only Look Once (YOLO) model has gained significant attention due to its ability to achieve real-time object detection and localization in images and videos. This paper comprehensively reviews real-time object recognition based on the YOLO model. We discuss the YOLO architecture's underlying principles and advantages over traditional object detection methods. Then, according to the article by Joseph Redmon, the inventor of YOLO, the benefits of each version of the YOLO model and the performance optimization compared to the previous work are briefly introduced in the order of release. Furthermore, this paper explores its applications in different domains.
Component, Object Recognition, You Only Look Once Model, Computer Vision
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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