<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Makerere University Cassava Image Dataset</titl><IDNo agency="DOI">doi:10.7910/DVN/T4RB0B</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2022-08-18</distDate></distStmt><verStmt source="archive"><version date="2022-10-05" type="RELEASED">1</version></verStmt><biblCit>Tusubira, Francis Jeremy; Nakatumba-Nabende, Joyce; Babirye, Claire; Okao-Okujja, Geoffrey; Mutebi, Chodrine; Mugalu, Ben Wycliff; Nabagereka, Deborah; Namanya, Gloria, 2022, "Makerere University Cassava Image Dataset", https://doi.org/10.7910/DVN/T4RB0B, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Makerere University Cassava Image Dataset</titl><IDNo agency="DOI">doi:10.7910/DVN/T4RB0B</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Makerere university">Tusubira, Francis Jeremy</AuthEnty><AuthEnty affiliation="Makerere University">Nakatumba-Nabende, Joyce</AuthEnty><AuthEnty affiliation="Makerere University">Babirye, Claire</AuthEnty><AuthEnty affiliation="National Crops Resources Research Institute">Okao-Okujja, Geoffrey</AuthEnty><AuthEnty affiliation="Makerere University">Mutebi, Chodrine</AuthEnty><AuthEnty affiliation="Makerere University">Mugalu, Ben Wycliff</AuthEnty><AuthEnty affiliation="Makerere University">Nabagereka, Deborah</AuthEnty><AuthEnty affiliation="Makerere University">Namanya, Gloria</AuthEnty><othId role="Project Manager">Nakatumba-Nabende, Joyce</othId><othId role="Project Leader">Tusubira, Francis Jeremy</othId><othId role="Researcher">Babirye, Claire</othId><othId role="Researcher">Okao-Okujja, Geoffrey</othId><othId role="Researcher">Mugalu, Ben Wycliff</othId><othId role="Researcher">Mutebi, Chodrine</othId><othId role="Data Collector">Nabagereka, Deborah</othId><othId role="Researcher">Namanya, Gloria</othId></rspStmt><prodStmt><producer affiliation="Makerere AI Lab">Nakatumba-Nabende, Joyce</producer><producer affiliation="Makerere AI Lab">Tusubira-Francis, Jeremy</producer><grantNo agency="This work was carried out with support from Lacuna Fund, an initiative cofounded by The Rockefeller Foundation, Google.org, and Canada’s International Development Research Centre. The views expressed herein do not necessarily represent those of Lacuna Fund, its Steering Committee, its funders, or Meridian Institute.">0328-S-001</grantNo></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distrbtr affiliation="Makerere University" URI="https://www.air.ug/">Makerere AI Lab</distrbtr><contact affiliation="Makerere university" email="tusubirafrancisjeremy@gmail.com">Tusubira, Francis Jeremy</contact><depositr>Lab, Makerere AI</depositr><depDate>2022-02-19</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/T4RB0B"/></citation><stdyInfo><subject><keyword xml:lang="en">Agricultural Sciences</keyword><keyword xml:lang="en">Computer and Information Science</keyword><keyword>Cassava</keyword></subject><abstract>The dataset was created to provide an open-source and well-curated image dataset showing diseased and healthy cassava leaf images from Uganda. This will be used by data scientists, researchers, the wider machine learning community, and experts from other domains to conduct research into automating the identification and diagnosis of cassava crop diseases. 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