Litcius/Paper detail

Lightweight Surface Litter Detection Algorithm Based on Improved YOLOv5s

Zunliang Chen, Chengxu Huang, Lucheng Duan, Baohua Tan

2023Computers, materials & continua/Computers, materials & continua (Print)11 citationsDOIOpen Access PDF

Abstract

In response to the problem of the high cost and low efficiency of traditional water surface litter cleanup through manpower, a lightweight water surface litter detection algorithm based on improved YOLOv5s is proposed to prov... | Find, read and cite all the research you need on Tech Science Press

Topics & Concepts

AlgorithmConvolution (computer science)Computer scienceConvergence (economics)Function (biology)Surface (topology)LitterArtificial neural networkArtificial intelligenceMathematicsEngineeringGeometryEconomicsBiologyWaste managementEconomic growthEvolutionary biologyWater Quality Monitoring Technologies
Lightweight Surface Litter Detection Algorithm Based on Improved YOLOv5s | Litcius