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@@ -46,4 +46,34 @@ configs:
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  - split: train
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  path: raw/train-*
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  default: true
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: train
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  path: raw/train-*
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  default: true
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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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+ # Corn Leaf Pest Classification
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+
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+ A dataset for image classification of Corn Leaf Pest Classification.
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+ The raw dataset contains 1,308 images.
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+ The augmented dataset contains 11,772 images.
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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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+ ```bibtex
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+ @article{tchokogoue2025towards,
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+ title={Towards precision agriculture: A dataset for early detection of corn leaf pests},
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+ author={Tchokogou{\'e}, Thierry and Noumsi, Auguste Vigny and Atemkeng, Marcellin and Fono, Louis Aim{\'e}},
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+ journal={Data in Brief},
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+ volume={59},
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+ pages={111394},
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+ year={2025},
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+ publisher={Elsevier}
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+ }
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+ ```
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+
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+ Tchokogoué, Thierry; Noumsi, Auguste; Atemkeng Teufack, Marcellin; FONO, LOUIS AIME (2024), “A Dataset for Early Detection of Corn Leaf Pests in Precision Agriculture”, Mendeley Data, V1, doi: 10.17632/ymvghfcww7.1
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+
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+ *This dataset was reformatted from its original format to match HuggingFace standards.*