The KaraAgro AI Maize Dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Maize"]} <|eot_id|>
 Here is the Description of a dataset. Description:'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' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
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
Maize