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Project-AgML
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AgriVision4_disease_classification

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Image Classification
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AgriVision4_disease_classification
File size: 4,389 Bytes
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---
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

```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