Datasets:
metadata
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
@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