Project-AgML/AgriVision4_disease_classification

1---2configs:3- config_name: augmented4  data_files:5  - split: train6    path: augmented/train-*7- config_name: raw8  data_dir: raw9  default: true10license: cc-by-4.011task_categories:12- image-classification13size_categories:14- 10K<n<100K15dataset_info:16- config_name: augmented17  features:18  - name: image19    dtype: image20  - name: label21    dtype:22      class_label:23        names:24          '0': Alternaria_Leaf_Blight25          '1': Angular_Leaf_Spot26          '2': Anthracnose27          '3': Bacterial_Blight28          '4': Carica_Insect_Hole29          '5': Curled_Yellow_Spot30          '6': Downy31          '7': Downy_Mildew32          '8': Dry_Leaf33          '9': Early_Alternaria_Leaf_Blight34          '10': Fungal_Damage_Leaf35          '11': Healthy36          '12': Healthy_leaf37          '13': Insect_Damage38          '14': Iron_Chlorosis_Damage39          '15': Mosaic40          '16': Mosaic_Virus41          '17': Pathogen_symptoms42          '18': Spot43          '19': White_spot44          '20': Xanthomonas_Leaf_Spot45          '21': Yellow_Mosaic_Virus46          '22': Yellow_Necrotic_Spots_Holes47  - name: crop48    dtype: string49  splits:50  - name: train51    num_bytes: 236965116352    num_examples: 2287553  download_size: 236177208554  dataset_size: 236965116355- config_name: raw56  features:57  - name: image58    dtype: image59  - name: label60    dtype:61      class_label:62        names:63          '0': Alternaria_Leaf_Blight64          '1': Angular_Leaf_Spot65          '2': Anthracnose66          '3': Bacterial_Blight67          '4': Carica_Insect_Hole68          '5': Curled_Yellow_Spot69          '6': Downy_Mildew70          '7': Dry_Leaf71          '8': Early_Alternaria_Leaf_Blight72          '9': Fungal_Damage_Leaf73          '10': Healthy74          '11': Healthy_leaf75          '12': Insect_Damage76          '13': Iron_Chlorosis_Damage77          '14': Mosaic78          '15': Mosaic_Virus79          '16': Pathogen_symptoms80          '17': Spot81          '18': White_spot82          '19': Xanthomonas_Leaf_Spot83          '20': Yellow_Mosaic_Virus84          '21': Yellow_Necrotic_Spots_Holes85  - name: crop86    dtype: string87  splits:88  - name: train89    num_bytes: 548851523390    num_examples: 524691  download_size: 517111569692  dataset_size: 548851523393---94 95# AgriVision4 Disease Classification96 97A dataset for disease classification of Bottle Gourd, Zucchini, Papaya, and Tomato.  The dataset contains raw and augmented versions.  98The raw dataset contains 5,246 images.  99Images per class:100- Alternaria_Leaf_Blight: 303101- Angular_Leaf_Spot: 120102- Anthracnose: 405103- Bacterial_Blight: 183104- Carica_Insect_Hole: 318105- Curled_Yellow_Spot: 538106- Downy_Mildew: 496107- Dry_Leaf: 67108- Early_Alternaria_Leaf_Blight: 179109- Fungal_Damage_Leaf: 39110- Healthy: 636111- Healthy_leaf: 189112- Insect_Damage: 78113- Iron_Chlorosis_Damage: 65114- Mosaic: 195115- Mosaic_Virus: 434116- Pathogen_symptoms: 286117- Spot: 311118- White_spot: 65119- Xanthomonas_Leaf_Spot: 86120- Yellow_Mosaic_Virus: 202121- Yellow_Necrotic_Spots_Holes: 51122 123The augmented dataset contains 22,875 images.  124Images per class:125- Alternaria_Leaf_Blight: 697126- Angular_Leaf_Spot: 880127- Anthracnose: 1,595128- Bacterial_Blight: 817129- Carica_Insect_Hole: 682130- Curled_Yellow_Spot: 462131- Downy: 943132- Downy_Mildew: 1,561133- Dry_Leaf: 933134- Early_Alternaria_Leaf_Blight: 821135- Fungal_Damage_Leaf: 961136- Healthy: 2,485137- Healthy_leaf: 811138- Insect_Damage: 922139- Iron_Chlorosis_Damage: 935140- Mosaic: 805141- Mosaic_Virus: 1,566142- Pathogen_symptoms: 714143- Spot: 689144- White_spot: 935145- Xanthomonas_Leaf_Spot: 914146- Yellow_Mosaic_Virus: 798147- Yellow_Necrotic_Spots_Holes: 949148 149 150This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.151 152## Citation153 154```bibtex155@article{billah2026agri,156  title={Agri-Vision Bangladesh: A Multi-Crop Augmented Image Dataset for Automated Disease Diagnosis in Bottle Gourd, Zucchini, Papaya, and Tomato.},157  author={Billah, Md Masum and Rahman, Md Anisur and Sagor, Saifuddin and Parvin, Sanzida and Uddin, Mohammad Shorif},158  journal={Data in Brief},159  pages={112528},160  year={2026},161  publisher={Elsevier}162}163```164 165Billah, 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