Project-AgML/TOM2024_disease_classification

TOM2024 Disease Classification Classification

A dataset for disease classification of Tomato, Onion, and Maize. The dataset contains raw and augmented versions.
The raw dataset contains 12,082 images.
Images per class:

• abiotic-disease-d: 77
• alternaria-d: 837
• alternaria-mite-d: 8
• aphids-p: 4
• bacterial-floundering-d: 252
• blossom-end-rot-d: 118
• bulb-blight-d: 30
• caterpillar-p: 879
• curvulariosis-d: 259
• excess-nitrogen-d: 43
• fusarium-d: 756
• healthy-fruit: 552
• healthy-leaf: 2,046
• helicoverpa-armigera-p: 278
• helminthosporiosis-d: 159
• mite-d: 390
• rust-d: 99
• spodoptera-frugiperda-a: 616
• spodoptera-frugiperda-p: 600
• stripe-d: 2,190
• sunburn-d: 51
• tomato-late-blight-d: 74
• tuta-absoluta-p: 19
• virosis-d: 1,745

The augmented dataset contains 79,749 images.
Images per class:

• abiotics-disease-d: 890
• alternaria-d: 7,657
• alternaria-mite-d: 2,319
• aphids-p: 500
• bacterial-floundering-d: 3,496
• blossom-end-rot-d: 1,614
• bulb-blight-d: 1,256
• caterpillars-p: 5,766
• curvulariosis-d: 2,677
• excess-nitrogen-d: 1,330
• fusarium-d: 7,908
• healthy-fruit: 3,104
• healthy-leaf: 12,233
• helicoverpa-armigera-p: 2,556
• helminthosporiosis-d: 2,377
• mite-d: 2,526
• rust-d: 1,378
• spodoptera-frugiperda-a: 3,232
• spodoptera-frugiperda-p: 3,200
• stripe-d: 6,478
• sunburn-d: 1,328
• tomato-late-blight-d: 1,338
• tuta-absoluta-p: 274
• virosis-d: 4,312

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

Citation

@article{appiah2025tom2024,
  title={TOM2024: Datasets of tomato, onion, and maize images for developing pests and diseases AI-based classification models},
  author={Appiah, Obed and Hackman, Kwame Oppong and Diakalia, Son and Codjia, Audrey Kantz Dossou and B{\^e}b{\^e}, Momo and Ouedraogo, Valentin and Diallo, Belko Abdoul Aziz and Gandji, Kisito and Abdoul-Karim, Damoue and Ogunjobi, Kehinde Olufunso and others},
  journal={Data in Brief},
  volume={59},
  pages={111357},
  year={2025},
  publisher={Elsevier}
}```

Appiah, Obed; Hackman, Kwame Oppong ; Diallo, Belko Abdoul Aziz; Ogunjobi, Kehinde O; Ouedraogo, Valentin; Bebe, Momo; SON, Diakalia (2024), “TOM2024”, Mendeley Data, V1, doi: 10.17632/3d4yg89rtr.1