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  • 标题:Garbage Classification and Detection for Urban Management
  • 本地全文:下载
  • 作者:Kishan PS ; Snehal Shah ; Jitendra Jaiswal
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2021
  • 卷号:69
  • 期号:9
  • 页码:17-26
  • DOI:10.14445/22312803/IJCTT-V69I9P104
  • 语种:English
  • 出版社:Seventh Sense Research Group
  • 摘要: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.
  • 关键词:Deep learning;Machine learning;Neural networks;CNN;SVM;Faster R-CNN
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