Plastic Waste Detection using YOLOv5 Deep Learning Object Detection Algorithm

Kayala Lakshmi Swetha , Kadiyala Kushala , Kanuri Yogambika Varshini , Karella Baby Jahnavi , Dr.K.Soumya

Deep Learning,YOLOv5,Object Detection Algorithm

Studies indicate that the largest contributor to pollution is discarded plastic trash, which is one of the most worrying environmental concerns. Wildlife along the coast, the ecology, the stability of the ecosystem, and local economies are all at risk due to these plastics. This would inevitably have an impact on marine life as well as human life. The most popular techniques for detecting and measuring plastics have several drawbacks despite being effective. As a result, it's critical to embrace alternative techniques that make use of cutting-edge technology and make it simple for us to recognise and remove plastics. For the purpose of locating and classifying the plastics, we examined the YOLO v5 deep learning object identification methods in this research. The datasets are made using plastic photographs that can be found online. The dataset's image count can be increased with the aid of image augmentation. The performance of the algorithm is examined, and the results are drawn with an explanation of the Mean Average Precision of YOLO v5.

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"Plastic Waste Detection using YOLOv5 Deep Learning Object Detection Algorithm", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.b10-b16, March-2023, Available :https://ijnrd.org/papers/IJNRD2303103.pdf

Volume 8 Issue 3, March-2023

Pages : b10-b16

Paper Reg. ID: IJNRD_188461

Published Paper Id: IJNRD2303103

Downloads: 000118870

Research Area: Computer Engineering 

Country: Visakhapatnam, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303103

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303103

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition