1. accedaCRIS
  2. Publicaciones
  3. Actas de congresos
Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/124484
Campo DC Valoridioma
dc.contributor.authorBarra, Paolaen_US
dc.contributor.authorCitarella, Alessia Auriemmaen_US
dc.contributor.authorOrefice, Giosueen_US
dc.contributor.authorCastrillon-Santana, Modestoen_US
dc.contributor.authorCiaramella, Angeloen_US
dc.date.accessioned2023-09-18T16:49:49Z-
dc.date.available2023-09-18T16:49:49Z-
dc.date.issued2023en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/124484-
dc.description.abstractThe marine ecosystem is threatened by human waste released into the sea. One of the most challenging marine litter to identify and remove are the small particles settled on the sand which may be ingested by local fauna or cause damage to the marine ecosystem. Those particles are not easy to identify because they get confused with maritime/natural material, natural elements such as shells, stones or others, which can not be classified as "litter". In this work we present a dataset of Litter On The Sand (LOTS), with images of clean, dirty and wavy sand from 3 different beaches.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Accessen_US
dc.sourceProceedings of MVA 2023 - 18th International Conference on Machine Vision Applications (MVA) Hamamatsu, Japan, July 23-25, 2023en_US
dc.subject33 Ciencias tecnológicasen_US
dc.subject.otherPhotographyen_US
dc.subject.otherImage segmentationen_US
dc.subject.otherImage resolutionen_US
dc.subject.otherEcosystemsen_US
dc.subject.otherVirtual environmentsen_US
dc.subject.otherObject segmentationen_US
dc.subject.otherSearch problemsen_US
dc.titleLOTS: Litter on the Sand dataset for litter segmentationen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference18th International Conference on Machine Vision Application (MVA 2023)en_US
dc.identifier.doi10.23919/MVA57639.2023.10216220en_US
dc.identifier.scopus85170552522-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid57205195650-
dc.contributor.authorscopusid57226113587-
dc.contributor.authorscopusid58571613300-
dc.contributor.authorscopusid57218418238-
dc.contributor.authorscopusid7003470719-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.description.numberofpages4en_US
dc.identifier.eisbn978-4-88552-343-4-
dc.utils.revisionSíen_US
dc.date.coverdateEnero 2023en_US
dc.identifier.conferenceidevents150388-
dc.identifier.ulpgcSíen_US
dc.contributor.buulpgcBU-INFen_US
dc.description.sjr0,96
dc.description.jcr3,9
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.miaricds10,4
dc.description.ggs3
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-8673-2725-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameCastrillón Santana, Modesto Fernando-
Colección:Actas de congresos
Vista resumida

Visitas

14
actualizado el 23-sep-2023

Google ScholarTM

Verifica

Altmetric


Comparte


Exporta metadatos


Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.