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 in-field maize crop disease diagnosis and spatial analysis. This maize image dataset was collected across three different classes: Healthy, Fall armyworm, and Maize Streak Virus.