YOLO十年演进史，从实时检测到多领域应用的全面回顾
A Decade of You Only Look Once (YOLO) for Object Detection: A Review
- 梳理YOLOv1到YOLOv13的技术演进路径
- 总结其在效率、模块化与跨域适应上的核心优势
- 适合关注目标检测发展脉络的研究者与工程师
本文回顾了实时目标检测中最具影响力的框架之一——You Only Look Once（YOLO）问世十周年的发展历程。过去十年间，YOLO已从最初的轻量级检测器演变为一套多样化的架构家族，具备高效设计、模块化扩展性和跨领域适应性。论文系统梳理了从YOLOv1到YOLOv13的主要版本，提炼关键架构趋势，并综述其在多个实际应用场景中的落地情况。同时，文章探讨了评估方法、伦理问题及未来发展方向。旨在提供对YOLO发展历程与持续演化的全面且批判性视角。
原文摘要 · Abstract (English)
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.
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