RoCoLe: A robusta coffee leaf images dataset
Published: 17 May 2019| Version 2 | DOI: 10.17632/c5yvn32dzg.2
Contributors:
Jorge Parraga-Alava, Kevin Cusme, Angélica Loor, Esneider SantanderDescription
The dataset contains 1560 robusta coffee leaf images with visible mites and spots (denoting coffee leaf rust presence) for infection cases and images without such structures for healthy cases. In addition, the data set includes annotations regarding state (healthy and unhealthy) and the severity of disease (leaf area with spots).
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Institutions
Escuela Superior Politecnica Agropecuaria de Manabi, Universidad de Santiago de Chile
Categories
Computer Vision, Computational Intelligence, Machine Learning, Robusta Coffee