Datasets:
Update README.md
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README.md
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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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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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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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```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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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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*This dataset was reformatted from its original format to match HuggingFace standards.*
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