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Development of Drifting Debris Detection System using Deep Learning on Coastal Cleanup
Summary
Researchers developed a deep learning-based system to detect litter on beaches using images and automated object recognition. Efficient litter detection tools could help coastal cleanup programs identify and remove plastic debris before it breaks down into microplastics.
In this paper, we developed a litter detector using deep learning to efficiently survey litter on beaches.The litter detector was developed using an HTC network.The HTC network and the mask R-CNN network were compared to evaluate the detector.The results showed that the HTC network was affected by small objects in the images.
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