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 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

@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.