Garbage Classification and Detection for Urban Management |
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| © 2021 by IJCTT Journal | ||
| Volume-69 Issue-9 |
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| Year of Publication : 2021 | ||
| Authors : Kishan PS, Snehal Shah, Jitendra Jaiswal | ||
| DOI : 10.14445/22312803/IJCTT-V69I9P104 | ||
How to Cite?
Kishan PS, Snehal Shah, Jitendra Jaiswal, "Garbage Classification and Detection for Urban Management," International Journal of Computer Trends and Technology, vol. 69, no. 9, pp. 17-26, 2021. Crossref, https://doi.org/10.14445/22312803/IJCTT-V69I9P104
Abstract
There is an increase in population throughout the country. As the population increases, even the waste production increases. In India, there is garbage accumulation everywhere, including garbage pits and other places which are not meant for garbage accumulation. Due to this management is facing a lot of problems cleaning and there are many diseases spreading. This paper is focused on detecting and classification garbage using Deep Learning and Neural Network algorithms. CNN algorithm is used, applied, and analyzed. Confusion matrix and ROC curve are also used. Here in this paper, two different datasets are used, one dataset was available online, and another dataset was built on our own. This paper comparison both datasets by using different algorithms like CNN, SVM, faster-RCNN, and values are recorded for future use.
Keywords
Deep learning, Machine learning, Neural networks, CNN, SVM, Faster R-CNN.
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