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                <identifier>oai:data.mendeley.com/c5yvn32dzg.2</identifier>
                <datestamp>2019-05-17T14:11:57Z</datestamp>
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    <dc:creator>Parraga-Alava, Jorge</dc:creator>
    <dc:title>RoCoLe: A robusta coffee leaf images dataset </dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc: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).</dc:description>
    <dc:subject>Computer Vision</dc:subject>
    <dc:subject>Computational Intelligence</dc:subject>
    <dc:subject>Machine Learning</dc:subject>
    <dc:subject>Robusta Coffee</dc:subject>
    <dc:contributor>Cusme, Kevin</dc:contributor>
    <dc:contributor>Loor, Angélica</dc:contributor>
    <dc:contributor>Santander, Esneider</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/c5yvn32dzg.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/c5yvn32dzg.2</dc:identifier>
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    <dc:date>2019-05-17T14:11:57Z</dc:date>
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