Image datasets of cocoa beans for taxonomy nuances evaluation
There are some classification methods that generate nuances in the final accuracy caused by objects positioning, framing and damage. These occurrences may result in a drop of accuracy in computer vision systems that were trained with structured static datasets and are intended to be used in day-to-d...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2019-12-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340919310108 |
| _version_ | 1818561807548153856 |
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| author | F.A. Santos E.S. Palmeira G.Q. Jesus |
| author_facet | F.A. Santos E.S. Palmeira G.Q. Jesus |
| author_sort | F.A. Santos |
| collection | DOAJ |
| description | There are some classification methods that generate nuances in the final accuracy caused by objects positioning, framing and damage. These occurrences may result in a drop of accuracy in computer vision systems that were trained with structured static datasets and are intended to be used in day-to-day applications in which the images are not always as organized as the trained dataset, like some biometric classification systems such as iris and fingerprint. In this regard, this paper presents six image datasets processed with different methods to help researchers analyze the impact of object positioning, framing and damage in their taxonomies. Keywords: Cocoa beans, Cut Test, Object positioning, Taxonomy evaluation |
| first_indexed | 2024-12-14T00:55:33Z |
| format | Article |
| id | doaj.art-a94d4ed7970749f4a832ca7d9c1015d3 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-14T00:55:33Z |
| publishDate | 2019-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-a94d4ed7970749f4a832ca7d9c1015d32022-12-21T23:23:35ZengElsevierData in Brief2352-34092019-12-0127Image datasets of cocoa beans for taxonomy nuances evaluationF.A. Santos0E.S. Palmeira1G.Q. Jesus2Corresponding author.; Universidade Estadual de Santa Cruz, BrazilUniversidade Estadual de Santa Cruz, BrazilUniversidade Estadual de Santa Cruz, BrazilThere are some classification methods that generate nuances in the final accuracy caused by objects positioning, framing and damage. These occurrences may result in a drop of accuracy in computer vision systems that were trained with structured static datasets and are intended to be used in day-to-day applications in which the images are not always as organized as the trained dataset, like some biometric classification systems such as iris and fingerprint. In this regard, this paper presents six image datasets processed with different methods to help researchers analyze the impact of object positioning, framing and damage in their taxonomies. Keywords: Cocoa beans, Cut Test, Object positioning, Taxonomy evaluationhttp://www.sciencedirect.com/science/article/pii/S2352340919310108 |
| spellingShingle | F.A. Santos E.S. Palmeira G.Q. Jesus Image datasets of cocoa beans for taxonomy nuances evaluation Data in Brief |
| title | Image datasets of cocoa beans for taxonomy nuances evaluation |
| title_full | Image datasets of cocoa beans for taxonomy nuances evaluation |
| title_fullStr | Image datasets of cocoa beans for taxonomy nuances evaluation |
| title_full_unstemmed | Image datasets of cocoa beans for taxonomy nuances evaluation |
| title_short | Image datasets of cocoa beans for taxonomy nuances evaluation |
| title_sort | image datasets of cocoa beans for taxonomy nuances evaluation |
| url | http://www.sciencedirect.com/science/article/pii/S2352340919310108 |
| work_keys_str_mv | AT fasantos imagedatasetsofcocoabeansfortaxonomynuancesevaluation AT espalmeira imagedatasetsofcocoabeansfortaxonomynuancesevaluation AT gqjesus imagedatasetsofcocoabeansfortaxonomynuancesevaluation |