Datasets:

Project-AgML
/

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

Downloads last month: 3,795