Research on the Development Law and Future Evolution Direction of YOLO Series Object Detection Model

Liu Sijia; Huang Junfeng; Li Yuchen; Li Faqi; Xu Huimei

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AUTO ELECTRIC PARTS ›› 2025, Vol. 1 ›› Issue (11) : 67-69.

Intelligent Networking

Research on the Development Law and Future Evolution Direction of YOLO Series Object Detection Model

Liu Sijia, Huang Junfeng, Li Yuchen, Li Faqi, Xu Huimei

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Abstract

The YOLO series model is a representative algorithm for single-stage object detection, and it has undergone five major iterations since it was proposed in 2016. This paper systematically analyzes the technical evolution path of YOLO v1 to v5, and summarizes the development laws from the dimensions of network architecture design, loss function optimization and feature fusion strategy. Suggestions for its future development are put forward in combination with the current technical trend.

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object detection / YOLO / deep learning / network architecture / loss function

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Liu Sijia, Huang Junfeng, Li Yuchen, Li Faqi, Xu Huimei. Research on the Development Law and Future Evolution Direction of YOLO Series Object Detection Model[J]. AUTO ELECTRIC PARTS. 2025, 1(11): 67-69

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