首页|基于Yolo v8的物品识别系统优化分析

基于Yolo v8的物品识别系统优化分析

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阐述YOLO v8对小目标物体识别精度的影响因素和改进方法.利用工业传送模拟场景进行仿真测试,表明在不涉及到核心算法的前提下,仅通过标注手法、图像简单预处理即可取得显著的效益.
Analysis of Optimization of Item Recognition System Based on Yolo v8
This paper describes the influencing factors and improvement methods of YOLO v8 on the accuracy of small target object recognition.It uses industrial transmission simulation scenarios for simulation testing,demonstrating that significant benefits can be achieved through annotation techniques and simple image preprocessing without involving core algorithms.

image annotationimage preprocessingrecognition accuracyYOLO v8

李淑、朱小康、何金灿

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江苏海事职业技术学院,江苏 211170

图像标注 图像预处理 识别精度 YOLO v8

2024

集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
年,卷(期):2024.41(8)