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Project-AgML/crop_pest_disease_classification

Crop Pest Disease Classification A dataset for classification of disease/damage from common crop pests. The dataset contains raw and augmented versions.The raw dataset contains 25,170 images.Images per class: anthracnose: 1,729 bacterial blight: 2,614 brown spot: 1,481 fall armyworm: 285 grasshoper: 673 green mite: 1,015 gumosis: 392 healthy: 3,235 leaf beetle: 938 leaf blight: 2,292 leaf curl: 514 leaf miner: 1,378 leaf spot: 1,249 mosaic: 1,205 red rust: 1,682 septoria leaf… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/crop_pest_disease_classification.

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Dataset Card

Crop Pest Disease Classification

A dataset for classification of disease/damage from common crop pests. The dataset contains raw and augmented versions. The raw dataset contains 25,170 images. Images per class:

—anthracnose: 1,729
—bacterial blight: 2,614
—brown spot: 1,481
—fall armyworm: 285
—grasshoper: 673
—green mite: 1,015
—gumosis: 392
—healthy: 3,235
—leaf beetle: 938
—leaf blight: 2,292
—leaf curl: 514
—leaf miner: 1,378
—leaf spot: 1,249
—mosaic: 1,205
—red rust: 1,682
—septoria leaf spot: 2,743
—streak virus: 972
—verticulium wilt: 773

The augmented dataset contains 105,252 images. Images per class:

—anthracnose: 4,940
—bacterial blight: 11,818
—brown spot: 4,733
—fall armyworm: 1,424
—grasshoper: 2,986
—green mite: 4,266
—gumosis: 2,139
—healthy: 14,209
—leaf beetle: 4,739
—leaf blight: 11,538
—leaf curl: 2,582
—leaf miner: 4,953
—leaf spot: 4,285
—mosaic: 3,450
—red rust: 6,566
—septoria leaf spot: 11,713
—streak virus: 5,047
—verticulium wilt: 3,864

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

The original train/test/val split has been preserved in the split column.

Citation

bibtex

@article{mensah2023ccmt,
  title={CCMT: Dataset for crop pest and disease detection},
  author={Mensah, Patrick Kwabena and Akoto-Adjepong, Vivian and Adu, Kwabena and Ayidzoe, Mighty Abra and Bediako, Elvis Asare and Nyarko-Boateng, Owusu and Boateng, Samuel and Donkor, Esther Fobi and Bawah, Faiza Umar and Awarayi, Nicodemus Songose and others},
  journal={Data in Brief},
  volume={49},
  pages={109306},
  year={2023},
  publisher={Elsevier}
}

Mensah Kwabena, Patrick; Akoto-Adjepong, Vivian; Adu, Kwabena; Abra Ayidzoe, Mighty; Asare Bediako, Elvis; Nyarko-Boateng, Owusu; Boateng, Samuel; Fobi Donkor, Esther; Umar Bawah, Faiza; Songose Awarayi, Nicodemus; Nimbe, Peter; Kofi Nti, Isaac; Abdulai, Muntala; Roger Adjei, Remember; Opoku, Michael (2023), “Dataset for Crop Pest and Disease Detection”, Mendeley Data, V1, doi: 10.17632/bwh3zbpkpv.1

This dataset was reformatted from its original format to match HuggingFace standards.