README.md

---
configs:
- config_name: augmented
  data_files:
  - split: train
    path: augmented/train-*
- config_name: raw
  data_dir: raw
  default: true
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 10K<n<100K
dataset_info:
- config_name: augmented
  features:
  - name: image
    dtype: image
  - name: crop_type
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': abiotics-disease-d
          '1': alternaria-d
          '2': alternaria-mite-d
          '3': aphids-p
          '4': bacterial-floundering-d
          '5': blossom-end-rot-d
          '6': bulb-blight-d
          '7': caterpillars-p
          '8': curvulariosis-d
          '9': excess-nitrogen-d
          '10': fusarium-d
          '11': healthy-fruit
          '12': healthy-leaf
          '13': helicoverpa-armigera-p
          '14': helminthosporiosis-d
          '15': mite-d
          '16': rust-d
          '17': spodoptera-frugiperda-a
          '18': spodoptera-frugiperda-p
          '19': stripe-d
          '20': sunburn-d
          '21': tomato-late-blight-d
          '22': tuta-absoluta-p
          '23': virosis-d
  splits:
  - name: train
    num_bytes: 797992181
    num_examples: 79749
  download_size: 781389987
  dataset_size: 797992181
- config_name: raw
  features:
  - name: image
    dtype: image
  - name: crop_type
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': abiotic-disease-d
          '1': alternaria-d
          '2': alternaria-mite-d
          '3': aphids-p
          '4': bacterial-floundering-d
          '5': blossom-end-rot-d
          '6': bulb-blight-d
          '7': caterpillar-p
          '8': curvulariosis-d
          '9': excess-nitrogen-d
          '10': fusarium-d
          '11': healthy-fruit
          '12': healthy-leaf
          '13': helicoverpa-armigera-p
          '14': helminthosporiosis-d
          '15': mite-d
          '16': rust-d
          '17': spodoptera-frugiperda-a
          '18': spodoptera-frugiperda-p
          '19': stripe-d
          '20': sunburn-d
          '21': tomato-late-blight-d
          '22': tuta-absoluta-p
          '23': virosis-d
  splits:
  - name: train
    num_bytes: 180275838
    num_examples: 12082
  download_size: 131741142
  dataset_size: 180275838
---

# 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

```bibtex
@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