Development of Beach Litter Detection System using Deep Learning on Beach Clean-up

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説明

This paper proposed a deep learning-based beach litter detector specifically designed for assessing litter levels on beaches effectively. This litter detector was created utilizing a HTC, also known as the Hybrid Task Cascade network, and its performance was compared to that of the traditional mask R-CNN network in order to judge its effectiveness. The findings uncovered that the HTC network possessed heightened sensitivity towards small and tiny litters taken within the RGB colored images.

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詳細情報 詳細情報について

  • CRID
    1390860100278121472
  • DOI
    10.57417/jaalr.3.4_238
  • ISSN
    24358061
  • 本文言語コード
    en
  • データソース種別
    • JaLC
  • 抄録ライセンスフラグ
    使用可

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