Detection of Domestic Waste Based on YOLO

Yaohui Hou

doi:10.54097/fcis.v2i1.3182

Authors

Yaohui Hou

DOI:

https://doi.org/10.54097/fcis.v2i1.3182

Keywords:

YOLO, Domestic waste, Objection detection, Deep learning

Abstract

Deep learning has increasingly permeated every aspect of our lives. Currently, the economy develops rapidly and the population living in cities grows quickly. In the meanwhile, the amount of domestic waste is constantly rising, and the serious shortage of waste treatment competence has become increasingly prominent. Many cities can only use landfill or incineration to generate electricity for most of the waste, but this is not a long-term solution. In this paper, the YOLO-based domestic waste classification and treatment method are proposed to improve the efficiency of waste treatment.

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References

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