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An image dataset of cut-test-classified cocoa beans

Classifying cocoa beans, considering some specific standards, is required and regulated around the world, if commercialization is intended, or it can be very useful, in order to select the best ones for a given proposal. This article presents an image dataset of cut test classified cocoa beans, prov...

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Detalles Bibliográficos
Autores principales: Santos, F.A., Palmeira, E.S., Jesus, G.J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484946/
https://www.ncbi.nlm.nih.gov/pubmed/31049375
http://dx.doi.org/10.1016/j.dib.2019.103916
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author Santos, F.A.
Palmeira, E.S.
Jesus, G.J.
author_facet Santos, F.A.
Palmeira, E.S.
Jesus, G.J.
author_sort Santos, F.A.
collection PubMed
description Classifying cocoa beans, considering some specific standards, is required and regulated around the world, if commercialization is intended, or it can be very useful, in order to select the best ones for a given proposal. This article presents an image dataset of cut test classified cocoa beans, provided by experts following the Brazilian regulative norm for that process. Fourteen classes, with 100 images for each, were registered in a device designed with standard constant artificial lighting and capturing settings and will be present in this paper. Images are hosted in the Núcleo de Biologia Computacional from Universidade Estadual de Santa Cruz, under the “tedais” name.
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spelling pubmed-64849462019-05-02 An image dataset of cut-test-classified cocoa beans Santos, F.A. Palmeira, E.S. Jesus, G.J. Data Brief Agricultural and Biological Science Classifying cocoa beans, considering some specific standards, is required and regulated around the world, if commercialization is intended, or it can be very useful, in order to select the best ones for a given proposal. This article presents an image dataset of cut test classified cocoa beans, provided by experts following the Brazilian regulative norm for that process. Fourteen classes, with 100 images for each, were registered in a device designed with standard constant artificial lighting and capturing settings and will be present in this paper. Images are hosted in the Núcleo de Biologia Computacional from Universidade Estadual de Santa Cruz, under the “tedais” name. Elsevier 2019-04-13 /pmc/articles/PMC6484946/ /pubmed/31049375 http://dx.doi.org/10.1016/j.dib.2019.103916 Text en © 2019 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Agricultural and Biological Science
Santos, F.A.
Palmeira, E.S.
Jesus, G.J.
An image dataset of cut-test-classified cocoa beans
title An image dataset of cut-test-classified cocoa beans
title_full An image dataset of cut-test-classified cocoa beans
title_fullStr An image dataset of cut-test-classified cocoa beans
title_full_unstemmed An image dataset of cut-test-classified cocoa beans
title_short An image dataset of cut-test-classified cocoa beans
title_sort image dataset of cut-test-classified cocoa beans
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484946/
https://www.ncbi.nlm.nih.gov/pubmed/31049375
http://dx.doi.org/10.1016/j.dib.2019.103916
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