This review marks the tenth anniversary of You Only Look Once (YOLO), one of the most influential frameworks in real-time object detection. Over the past decade, YOLO has evolved from a streamlined detector into a diverse family of architectures characterized by efficient design, modular scalability, and cross-domain adaptability. The paper presents a technical overview of the main versions (from YOLOv1 to YOLOv13), highlights key architectural trends, and surveys the principal application areas in which YOLO has been adopted. It also addresses evaluation practices, ethical considerations, and potential future directions for the framework's continued development. The analysis aims to provide a comprehensive and critical perspective on YOLO's trajectory and ongoing transformation.

翻译：本文回顾了You Only Look Once（YOLO）框架问世十周年，该框架是实时目标检测领域最具影响力的算法之一。过去十年间，YOLO已从精简的检测器演变为一个架构多样化的系列，其特点包括高效设计、模块化可扩展性及跨领域适应性。本文系统梳理了主要版本（从YOLOv1至YOLOv13）的技术脉络，归纳了关键架构演进趋势，并综述了YOLO在各领域的典型应用场景。同时探讨了评估方法、伦理考量以及该框架未来发展的潜在方向。本综述旨在为YOLO的技术发展路径与持续变革提供全面而批判性的视角。