The BeachLitter Dataset v2022

DOI

8-class segmentation masks by high-quality manual pixel-by-pixel annotations, corresponding 3500 beach litter images from 2011 to 2019 in Yamagata Prefecture, Japan. (papers are under review)

Identifier
DOI https://doi.org/10.17882/85472
Metadata Access http://www.seanoe.org/oai/OAIHandler?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:seanoe.org:85472
Provenance
Creator Sugiyama, Daisuke; Hidaka, Mitsuko; Matsuoka, Daisuke; Murakami, Koshiro; Kako, Shin’ichiro
Publisher SEANOE
Publication Year 2022
Rights CC-BY-NC-SA
OpenAccess true
Contact SEANOE
Representation
Resource Type Dataset
Discipline Marine Science