The Plant Pathology Challenge 2020 data set to classify foliar disease of apples.
Ranjita ThapaKai ZhangNoah SnavelySerge BelongieAwais KhanPublished in: Applications in plant sciences (2020)
This data set will contribute toward development and deployment of machine learning-based automated plant disease classification algorithms to ultimately realize fast and accurate disease detection. We will continue to add images to the pilot data set for a larger, more comprehensive expert-annotated data set for future Kaggle competitions and to explore more advanced methods for disease classification and quantification.