Containers in Montevideo: a Multi source Image Dataset

This work presents Clean-Dirty Containers in Montevideo (CDCM), a novel dataset for detection and classi cation of residue con-tainers. Images were collected from several sources, including Google Street View, Social Networks and smarthpone taken photos. The dataset is publicly available under a Cre...

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Detalles Bibliográficos
Autores principales: Laguna, Rodrigo, Moncecchi, Guillermo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
Multi source Dataset
Smart Cities
Open Data
Image Recognition
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140247
http://50jaiio.sadio.org.ar/pdfs/asai/ASAI-11.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-140247
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Multi source Dataset
Smart Cities
Open Data
Image Recognition
spellingShingle Ciencias Informáticas
Multi source Dataset
Smart Cities
Open Data
Image Recognition
Laguna, Rodrigo
Moncecchi, Guillermo
Containers in Montevideo: a Multi source Image Dataset
topic_facet Ciencias Informáticas
Multi source Dataset
Smart Cities
Open Data
Image Recognition
description This work presents Clean-Dirty Containers in Montevideo (CDCM), a novel dataset for detection and classi cation of residue con-tainers. Images were collected from several sources, including Google Street View, Social Networks and smarthpone taken photos. The dataset is publicly available under a Creative Commons License.
format Objeto de conferencia
Objeto de conferencia
author Laguna, Rodrigo
Moncecchi, Guillermo
author_facet Laguna, Rodrigo
Moncecchi, Guillermo
author_sort Laguna, Rodrigo
title Containers in Montevideo: a Multi source Image Dataset
title_short Containers in Montevideo: a Multi source Image Dataset
title_full Containers in Montevideo: a Multi source Image Dataset
title_fullStr Containers in Montevideo: a Multi source Image Dataset
title_full_unstemmed Containers in Montevideo: a Multi source Image Dataset
title_sort containers in montevideo: a multi source image dataset
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/140247
http://50jaiio.sadio.org.ar/pdfs/asai/ASAI-11.pdf
work_keys_str_mv AT lagunarodrigo containersinmontevideoamultisourceimagedataset
AT moncecchiguillermo containersinmontevideoamultisourceimagedataset
bdutipo_str Repositorios
_version_ 1764820458465656832

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