PlantDoc
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%.
Dataset description and usage context
PlantDoc Dataset Overview
Dataset Name
PlantDoc: A Dataset for Visual Plant Disease Detection
Dataset Purpose
Benchmark for classification models for visual plant disease detection.
Dataset Content
- Contains 2,598 data points.
- Covers 13 plant species.
- Involves up to 17 disease categories.
- Images were scraped from the Internet and manually annotated over ~300 hours.
Dataset Contribution
- Models trained on this dataset can improve plant disease classification accuracy by up to 31%.
- Aims to lower the barrier for applying computer‑vision techniques to plant disease detection.
Related Literature
Dataset Authors
Davinder Singh, Naman Jain, Pranjali Jain, Pratik Kayal, Sudhakar Kumawat, Nipun Batra
Dataset License
Creative Commons Attribution 4.0 International
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