Internal DOI: makai4d.2026.d082d4d1
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Makerere University Maize Image Dataset

The dataset was created to provide an open and accessible maize dataset with well-labeled, sufficiently curated, and prepared maize crop imagery that will be used by data scientists, researchers, the wider machine learning community, and social entrepreneurs within Sub-saharan Africa and worldwide for various machine learning experiments so as to build solutions towards infield maize crop disease diagnosis and spatial analysis. The image dataset was collected across three different classes: Healthy, Maize Streak Virus (MSV), and Maize Leaf Blight (MLB).

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Cite this dataset @data{DVN/LPGHKK_2022, author = {Babirye, Claire and Nakatumba-Nabende, Joyce and Namanya, Gloria and Mutebi, Chodrine and Ebellu, Moses and Murungi, Joab and Tobius, Saolo and Ssemwogerere, Jonah and Nakayima, Annet and Nabagereka, Deborah and Asasira, Judith and Kanyesigye, Ruth}, publisher = {Harvard Dataverse}, title = {{Makerere University Maize Image Dataset}}, year = {2022}, version = {V2}, doi = {10.7910/DVN/LPGHKK}, url = {https://doi.org/10.7910/DVN/LPGHKK} }