Overview of the YOLO Object Detection Algorithm
DOI:
https://doi.org/10.54097/8n22df05Keywords:
YOLO, Target detection, Convolutional Neural NetworksAbstract
The YOLO (You Only Look Once) object detection algorithm, proposed in 2015, has now evolved to YOLOv12, boasting improved detection speed and accuracy, and is currently a hot research topic. This article focuses on introducing the basic network structure of the YOLO series algorithms, summarizing the innovations, advantages, and limitations of the YOLOv1~YOLOv12 algorithms, reviewing the applications of YOLO detection algorithms and their improved versions in industrial, agricultural, and security fields, and based on this, looking ahead to the possible future development trends of the YOLO algorithm.
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