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: label
dtype:
class_label:
names:
'0': Alternaria_Leaf_Blight
'1': Angular_Leaf_Spot
'2': Anthracnose
'3': Bacterial_Blight
'4': Carica_Insect_Hole
'5': Curled_Yellow_Spot
'6': Downy
'7': Downy_Mildew
'8': Dry_Leaf
'9': Early_Alternaria_Leaf_Blight
'10': Fungal_Damage_Leaf
'11': Healthy
'12': Healthy_leaf
'13': Insect_Damage
'14': Iron_Chlorosis_Damage
'15': Mosaic
'16': Mosaic_Virus
'17': Pathogen_symptoms
'18': Spot
'19': White_spot
'20': Xanthomonas_Leaf_Spot
'21': Yellow_Mosaic_Virus
'22': Yellow_Necrotic_Spots_Holes
- name: crop
dtype: string
splits:
- name: train
num_bytes: 2369651163
num_examples: 22875
download_size: 2361772085
dataset_size: 2369651163
- config_name: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Alternaria_Leaf_Blight
'1': Angular_Leaf_Spot
'2': Anthracnose
'3': Bacterial_Blight
'4': Carica_Insect_Hole
'5': Curled_Yellow_Spot
'6': Downy_Mildew
'7': Dry_Leaf
'8': Early_Alternaria_Leaf_Blight
'9': Fungal_Damage_Leaf
'10': Healthy
'11': Healthy_leaf
'12': Insect_Damage
'13': Iron_Chlorosis_Damage
'14': Mosaic
'15': Mosaic_Virus
'16': Pathogen_symptoms
'17': Spot
'18': White_spot
'19': Xanthomonas_Leaf_Spot
'20': Yellow_Mosaic_Virus
'21': Yellow_Necrotic_Spots_Holes
- name: crop
dtype: string
splits:
- name: train
num_bytes: 5488515233
num_examples: 5246
download_size: 5171115696
dataset_size: 5488515233
AgriVision4 Disease Classification
A dataset for disease classification of Bottle Gourd, Zucchini, Papaya, and Tomato. The dataset contains raw and augmented versions.
The raw dataset contains 5,246 images.
Images per class:
- Alternaria_Leaf_Blight: 303
- Angular_Leaf_Spot: 120
- Anthracnose: 405
- Bacterial_Blight: 183
- Carica_Insect_Hole: 318
- Curled_Yellow_Spot: 538
- Downy_Mildew: 496
- Dry_Leaf: 67
- Early_Alternaria_Leaf_Blight: 179
- Fungal_Damage_Leaf: 39
- Healthy: 636
- Healthy_leaf: 189
- Insect_Damage: 78
- Iron_Chlorosis_Damage: 65
- Mosaic: 195
- Mosaic_Virus: 434
- Pathogen_symptoms: 286
- Spot: 311
- White_spot: 65
- Xanthomonas_Leaf_Spot: 86
- Yellow_Mosaic_Virus: 202
- Yellow_Necrotic_Spots_Holes: 51
The augmented dataset contains 22,875 images.
Images per class:
- Alternaria_Leaf_Blight: 697
- Angular_Leaf_Spot: 880
- Anthracnose: 1,595
- Bacterial_Blight: 817
- Carica_Insect_Hole: 682
- Curled_Yellow_Spot: 462
- Downy: 943
- Downy_Mildew: 1,561
- Dry_Leaf: 933
- Early_Alternaria_Leaf_Blight: 821
- Fungal_Damage_Leaf: 961
- Healthy: 2,485
- Healthy_leaf: 811
- Insect_Damage: 922
- Iron_Chlorosis_Damage: 935
- Mosaic: 805
- Mosaic_Virus: 1,566
- Pathogen_symptoms: 714
- Spot: 689
- White_spot: 935
- Xanthomonas_Leaf_Spot: 914
- Yellow_Mosaic_Virus: 798
- Yellow_Necrotic_Spots_Holes: 949
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{billah2026agri,
title={Agri-Vision Bangladesh: A Multi-Crop Augmented Image Dataset for Automated Disease Diagnosis in Bottle Gourd, Zucchini, Papaya, and Tomato.},
author={Billah, Md Masum and Rahman, Md Anisur and Sagor, Saifuddin and Parvin, Sanzida and Uddin, Mohammad Shorif},
journal={Data in Brief},
pages={112528},
year={2026},
publisher={Elsevier}
}
Billah, Md Masum; Rahman, Md.Anisur; Sagor, Saifuddin ; Parvin, Sanzida; Uddin, Mohammad Shorif (2026), “Agri-Vision4: A Comprehensive Multi-Crop Leaf Disease Dataset of Tomato, Papaya, Zucchini, and Bottle Gourd from Bangladesh”, Mendeley Data, V1, doi: 10.17632/8t6k37ztxc.1