Vehicle Type Classification and Counting Using YOLOv4 Algorithm

Samuel II C. Imperial, Ana Lowela L. Lucas, M. V. Caya
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引用次数: 2

Abstract

The study implements a system that detects, classify and count vehicles based on their body type. Classifying and counting has proven to be beneficial when monitoring and managing traffics. However, there are few of studies that focuses on classifying and counting vehicles based on their car types. Implementing the YOLOv4 for classification and counting for the car types coupe, pickup, sedan, sports utility vehicle (SUV) and van, obtained an accuracy of 92.13% for classification and 89.14% for counting. The system was able to successfully classify and count vehicles based on their car type under one system compared to other system that only counts vehicles without classifying the car types.
基于YOLOv4算法的车型分类与计数
该研究实现了一个基于车身类型检测、分类和计数车辆的系统。分类和计数已被证明在监控和管理流量时是有益的。然而,很少有研究将重点放在基于汽车类型的车辆分类和计数上。采用YOLOv4对轿跑车、皮卡、轿车、SUV、厢式货车等车型进行分类计数,分类准确率为92.13%,计数准确率为89.14%。该系统能够在一个系统下成功地根据车辆类型对车辆进行分类和计数,而另一个系统只对车辆进行计数而不对车辆类型进行分类。
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