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@@ -21,4 +21,23 @@ configs:
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  data_files:
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  - split: train
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  path: data/train-*
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  data_files:
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  - split: train
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  path: data/train-*
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+ license: cc-by-4.0
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+ task_categories:
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+ - image-classification
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+
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+ # Soybean Insect Classification
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+
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+ A dataset for image classification of damage from insects on Soybean leaves. The dataset contains 6,410 images across 3 classes: Caterpillar, Diabrotica_speciosa, Healthy.
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+ Images per class:
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+ - Caterpillar: 3,309
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+ - Diabrotica_speciosa: 2,205
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+ - Healthy: 896
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+
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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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+
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+ ## Citation
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+
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+ Mignoni, Maria Eloisa (2021), “Images of Soybean Leaves”, Mendeley Data, V1, doi: 10.17632/bycbh73438.1