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
Descripción
Sumario: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.

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