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Project-AgML/AgriVision4_disease_classification

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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/AgriVision4_disease_classification.

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Dataset Card

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:

—AlternariaLeafBlight: 303
—AngularLeafSpot: 120
—Anthracnose: 405
—Bacterial_Blight: 183
—CaricaInsectHole: 318
—CurledYellowSpot: 538
—Downy_Mildew: 496
—Dry_Leaf: 67
—EarlyAlternariaLeaf_Blight: 179
—FungalDamageLeaf: 39
—Healthy: 636
—Healthy_leaf: 189
—Insect_Damage: 78
—IronChlorosisDamage: 65
—Mosaic: 195
—Mosaic_Virus: 434
—Pathogen_symptoms: 286
—Spot: 311
—White_spot: 65
—XanthomonasLeafSpot: 86
—YellowMosaicVirus: 202
—YellowNecroticSpots_Holes: 51

The augmented dataset contains 22,875 images. Images per class:

—AlternariaLeafBlight: 697
—AngularLeafSpot: 880
—Anthracnose: 1,595
—Bacterial_Blight: 817
—CaricaInsectHole: 682
—CurledYellowSpot: 462
—Downy: 943
—Downy_Mildew: 1,561
—Dry_Leaf: 933
—EarlyAlternariaLeaf_Blight: 821
—FungalDamageLeaf: 961
—Healthy: 2,485
—Healthy_leaf: 811
—Insect_Damage: 922
—IronChlorosisDamage: 935
—Mosaic: 805
—Mosaic_Virus: 1,566
—Pathogen_symptoms: 714
—Spot: 689
—White_spot: 935
—XanthomonasLeafSpot: 914
—YellowMosaicVirus: 798
—YellowNecroticSpots_Holes: 949

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

bibtex

@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