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README.md
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- split: train
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path: data/train-*
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- split: train
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path: data/train-*
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---
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# Paddy Disease Classification
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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.
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Images per class:
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- bacterial_leaf_blight: 479
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- bacterial_leaf_streak: 380
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- bacterial_panicle_blight: 337
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- blast: 1,738
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- brown_spot: 965
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- dead_heart: 1,442
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- downy_mildew: 620
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- hispa: 1,594
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- normal: 1,764
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- tungro: 1,088
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This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
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## Citation
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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
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