Image Datasets of Cocoa Beans for Taxonomy Nuances Evaluation

Published: 13 September 2019| Version 4 | DOI: 10.17632/pcx7mj68yn.4
Contributor:
Felipe Antunes

Description

Six image datasets of cut-test-classified cocoa beans were created from the research presented in [FelipeAntunes_Dissertation_PPGMC.pdf]. Each dataset contains 14 classes (namely: Compartmentalized Brown, Compartmentalized White, Compartmentalized Partially Purple, Compartmentalized Purple, Compartmentalized Slatty, Plated Brown, Plated White, Plated Partially Purple, Plated Purple, Plated Slatty, Moldered, Flattened, Brittle and Agglutinated) with 100 images per class, totaling 1400 images per dataset. Those bases were created to evaluate nuances in classification methods. The source dataset from which those images were derived is present in [An_Image_Dataset_of_Cut-Test-Classified_Cocoa_Beans.pdf].

Files

Steps to reproduce

The steps to reproduce those datasets are presented in [FelipeAntunes_Dissertation_PPGMC.pdf].

Institutions

Universidade Estadual de Santa Cruz, Universidade Federal do Rio Grande do Norte

Categories

Computer Vision, Food Application of Computer Vision

Licence