Waste Classification Using Machine Learning Models: A Comparative Study

M. S. Minu, Varshitha Priya Kasa, Harshita Ketharaman, Varun Mandepudi, Nirmal K., Shreyan Krishnaa

2025

Abstract

Waste Management is a serious issue and demands the world’s attention today as it plays an important role in maintaining environmental sustainability. Segregation of waste is one of the primary components of waste management. Accurate classification of waste gives room for improving the efficiency of the process of recycling by maximizing material recovery, reducing contamination during the process of recycling, and most importantly, decreasing the amount of mismanaged waste, especially hazardous wastes. Proper waste management has not only contributed to positive environmental impacts and social benefits but has also helped nations economically. With water treatment facilities saving on operational costs and revenue being generated by the reselling of recycled materials, a study on automatic waste segregation is useful in tackling the said challenges and moving towards a cleaner society. In this study, we propose a comparison between the performance of machine learning models for classifying waste images using the Trash Net dataset. We compared the Convolutional Neural Network (CNN), and Support Vector Machine (SVM) classifiers using features from MobileNetV2, with two models of transfer learning: MobileNetV2 and ResNet50.

Paper Citation

in Harvard Style

Minu M., Kasa V., Ketharaman H., Mandepudi V., K. N. and Krishnaa S. (2025). Waste Classification Using Machine Learning Models: A Comparative Study. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 308-315. DOI: 10.5220/0013927500004919

in Bibtex Style

@conference{icrdicct`2525,
author={M. Minu and Varshitha Kasa and Harshita Ketharaman and Varun Mandepudi and Nirmal K. and Shreyan Krishnaa},
title={Waste Classification Using Machine Learning Models: A Comparative Study},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={308-315},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013927500004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Waste Classification Using Machine Learning Models: A Comparative Study
SN - 978-989-758-777-1
AU - Minu M.
AU - Kasa V.
AU - Ketharaman H.
AU - Mandepudi V.
AU - K. N.
AU - Krishnaa S.
PY - 2025
SP - 308
EP - 315
DO - 10.5220/0013927500004919
PB - SciTePress