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Status: Unchecked ×Keyword: waste classification ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Deep learning-based waste detection in natural and urban environments

   Majchrowska, Mikołajczyk, Ferlin et al. · Waste Management · 2021

   The paper reviews existing waste datasets, proposes two merged benchmark datasets, and presents a two-stage deep learning detector that locates litter and classifies it into seven categories.

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   1. UncheckedA two-stage system reaches up to 70% average precision finding litter and around 75% accuracy sorting it into seven waste categories on the test data.“The proposed approach achieves up to 70% of average precision in waste detection and around 75% of classification accuracy on the test dataset.”