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Título

BrainGut_WineUp real images [Dataset]

AutorRelaño de la Guía, Edgard; Lloret Iglesias, Lara CSIC ORCID; Aguilar, Fernando CSIC ORCID ; Cobo Cano, Miriam CSIC ORCID ; García Díaz, Daniel CSIC ORCID ; Heredia, Ignacio CSIC ORCID; Yuste, Silvia CSIC ORCID; Pérez-Matute, Patricia; Motilva, María-José CSIC ORCID ; Bartolomé, Begoña CSIC ORCID ; Moreno-Arribas, M. Victoria CSIC ORCID
Palabras claveWines
Volunteers
Images
Fecha de publicación14-dic-2022
EditorDIGITAL.CSIC
CitaciónRelaño de la Guía, Edgard; Lloret Iglesias, Lara; Aguilar, Fernando; Cobo Cano, Miriam; García Díaz, Daniel CSIC ; Heredia, Ignacio; Yuste, Silvia; Pérez-Matute, Patricia; Motilva, María-José ; Bartolomé, Begoña; Moreno-Arribas, M. Victoria; 2022; BrainGut_WineUp real images [Dataset]; DIGITAL.CSIC; https://doi.org/10.20350/digitalCSIC/14817
ResumenThe DATASET compiles 229 files corresponding to individual images of glasses containing red wine. The photographs of glasses containing wine were acquired by wine consumers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Each file name is unique and contains information of the parameters under which the photo-graph was taken.
DescripciónThe photographs of glasses containing wine were acquired by wine consumers with different smartphones equipped with high-resolution cameras (12 or 48 MP). Photographs were previously designed considering usual photographic parameters (see DATA-SPECIFIC INFORMATION for details).-- The data have not been processed.
URIhttp://hdl.handle.net/10261/284780
DOIhttps://doi.org/10.20350/digitalCSIC/14817
ReferenciasCobo, M. et al (2022). Development and application of an artificial intelligence-based model to estimate wine consumption, in preparation.
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fotos_estudios.zip590,42 MBUnknownVisualizar/Abrir
README_real images.odt13,34 kBOpenDocument TextVisualizar/Abrir
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