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 Santander

Description

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

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