Project-AgML/paddy_disease_classification

Paddy Disease Classification

A dataset for disease classification of rice paddies. The dataset contains 10,407 images across 10 classes: bacterial_leaf_blight, bacterial_leaf_streak, bacterial_panicle_blight, blast, brown_spot, dead_heart, downy_mildew, hispa, normal, tungro.
Images per class:

• bacterial_leaf_blight: 479
• bacterial_leaf_streak: 380
• bacterial_panicle_blight: 337
• blast: 1,738
• brown_spot: 965
• dead_heart: 1,442
• downy_mildew: 620
• hispa: 1,594
• normal: 1,764
• tungro: 1,088

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

Petchiammal A, Briskline Kiruba S, Murugan D, Pandarasamy Arjunan. (2022). Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking. IEEE Dataport. https://dx.doi.org/10.21227/hz4v-af08