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