基于Yolo v8的物品识别系统优化分析  

Analysis of Optimization of Item Recognition System Based on Yolo v8

作　　者：李淑 朱小康 何金灿[1] LI Shu;ZHU Xiaokang;HE Jincan(Jiangsu Maritime Vocational and Technical College,Jiangsu 211170,China)

机构地区：[1]江苏海事职业技术学院,江苏211170

出　　处：《集成电路应用》2024年第8期414-415,共2页Application of IC

摘　　要：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。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.

关 键 词：图像标注 图像预处理 识别精度 YOLO v8 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程]