Datasets › Rice Grains BRRI

Rice Grains BRRI (Rice Grain Disease Dataset for False Smut and Neck Blast)

Introduced by Tashin Ahmed et al. in Rice grain disease identification using dual phase convolutional neural network based system aimed at small dataset21 Apr 2020 archive 2025-07-28

dataset (balanced) of 200 images consists of three classes - False Smut, Neck Blast and healthy grain class. Some of these images contain both diseases together. Field data collected under the supervision of staff from the Bangladesh Rice Research Institute (BRRI).

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

Rice Grains BRRI

1 variant name, as the archive lists them.

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