An Object Detection and Scaling Model for Plastic Waste Sorting

A. Padalkar, Pramod Pathak, Paul Stynes
{"title":"An Object Detection and Scaling Model for Plastic Waste Sorting","authors":"A. Padalkar, Pramod Pathak, Paul Stynes","doi":"10.4108/eai.20-11-2021.2314204","DOIUrl":null,"url":null,"abstract":". Plastic waste sorting involves the separation of plastic into its individual plastic types. This research proposes an Object Detection and Scaling Model for plastic waste sorting to detect four types of plastics using the WaDaBa dataset. This research compares the Object Detection and Scaling Models Scaled-Yolov4 and EfficientDet. Results demonstrate that Scaled-Yolov4-CSP outperforms the state of the art, Colour-Histogram based Canny-Edge-Gaussian Filter, by 21% accuracy.","PeriodicalId":119759,"journal":{"name":"Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International Conference on AI for People: Towards Sustainable AI, CAIP 2021, 20-24 November 2021, Bologna, Italy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/eai.20-11-2021.2314204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

. Plastic waste sorting involves the separation of plastic into its individual plastic types. This research proposes an Object Detection and Scaling Model for plastic waste sorting to detect four types of plastics using the WaDaBa dataset. This research compares the Object Detection and Scaling Models Scaled-Yolov4 and EfficientDet. Results demonstrate that Scaled-Yolov4-CSP outperforms the state of the art, Colour-Histogram based Canny-Edge-Gaussian Filter, by 21% accuracy.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
塑料垃圾分类的目标检测和缩放模型
. 塑料垃圾分类包括将塑料分成不同的塑料类型。本研究提出了一个塑料垃圾分类的目标检测和缩放模型,利用WaDaBa数据集检测四种类型的塑料。本研究比较了scaledyolo4和EfficientDet的目标检测和缩放模型。结果表明,Scaled-Yolov4-CSP比基于颜色直方图的cony - edge - gaussian Filter的准确率高21%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Informed Digital Consent for Use of AI Systems Grounded in a Model of Sexual Consent The Ethics of Sustainability for Artificial Intelligence Towards Functional Safety Compliance of Recurrent Neural Networks René Laloux’s vision of Ecotopian AI: Exploring the Ecosystemic AI through Fantastic Planet Two-Person Mutual Action Recognition Using Joint Dynamics and Coordinate Transformation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1