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PlantDoc is a dataset for visual plant disease detection, containing 2,598 data points covering 13 plant species and up to 17 disease classes, annotated manually over approximately 300 hours from images scraped from the Internet. The dataset aims to achieve early detection of plant diseases via computer‑vision methods, improving classification accuracy by up to 31%.