基于YOLO目标检测模型的包裹识别系统研究

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中图分类号：TP18 文献标志码：A 文章编号：2095-2945（2025）34-0041-04

Abstract：Automatedsortingofpackagesiscrucialtoimprovingtheeficiencyofthelogisticsindustry，andtargetdetection andidentificationofpackagesisaprerequisiteforautomatedpackagesorting.Thispapersystematicallysummarizesthe developmentandresearchstatusofYOLOalgorithminpackage targetdetection，introducestheprinciplesanddevelopment historyofYOLOseriesmodels，summarizesthecommonlyusedevaluationindicatorsofYOLOalgorithm，andexpoundsthe practicalsignificanceoftheseindicatorsinpackagesortingscenarios.TheYOLOseriesmodelsweretrainedthroughself-built packagedatasets，andthetestresultswerecomparedandanalyzed.ResearchhasshownthattheYOLOseriesmodelsperform well inpackage detectionand identification，especiallythe YOLO1l model，whoseaccuracyrateisas high as 97.5% ，provides technicalsupportfortherapidandacurateidentificationofexpresspackagesandisofgreatsignificancetotheintellgent development of logistics technology.

Keywords： target detection; YOLO algorithm; package sorting; logistics technology; express delivery

2025年，物流行业的规模继续保持稳定增长。（剩余5633字）