datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TOM2024_disease_classification
TOM2024 Disease Classification Classification
A dataset for disease classification of Tomato, Onion, and Maize. The dataset contains raw and augmented versions.The raw dataset contains 12,082 images.Images per class:
abiotic-disease-d: 77
alternaria-d: 837
alternaria-mite-d: 8
aphids-p: 4
bacterial-floundering-d: 252
blossom-end-rot-d: 118
bulb-blight-d: 30
caterpillar-p: 879
curvulariosis-d: 259
excess-nitrogen-d: 43
fusarium-d: 756
healthy-fruit: 552
healthy-leaf: 2,046… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/TOM2024_disease_classification.crop_pest_disease_classification
Crop Pest Disease Classification
A dataset for classification of disease/damage from common crop pests. The dataset contains raw and augmented versions.The raw dataset contains 25,170 images.Images per class:
anthracnose: 1,729
bacterial blight: 2,614
brown spot: 1,481
fall armyworm: 285
grasshoper: 673
green mite: 1,015
gumosis: 392
healthy: 3,235
leaf beetle: 938
leaf blight: 2,292
leaf curl: 514
leaf miner: 1,378
leaf spot: 1,249
mosaic: 1,205
red rust: 1,682
septoria leaf… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/crop_pest_disease_classification.guava_disease_classification
Guava Disease Classification
A dataset for disease classification of guava fruits and leaves. The dataset contains raw and augmented versions.The raw dataset contains 3,049 images.Images per class:
Anthracnose: 500
Canker: 192
Dot: 219
Healthy: 1,590
Rust: 167
Scab: 119
Styler end root: 262
The augmented dataset contains 20,344 images.Images per class:
Anthracnose: 4,026
Canker: 1,344
Dot: 1,533
Healthy: 8,724
Rust: 1,169
Scab: 1,190
Styler end root: 2,358
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/guava_disease_classification.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.Dhan-Shomadhan_rice_leaf_disease_classification
Dhan Shomadhan Rice Leaf Disease Classification
This dataset provides real-world RGB images of rice leaves affected by multiple disease symptoms, captured under natural agricultural conditions. It offers a practical resource for developing and evaluating computer vision models in agricultural disease detection and monitoring applications. The dataset contains 1,106 images across 8 classes: Brown Spot, Browon Spot, Leaf Scaled, Rice Blast, Rice Tungro, Rice Turgro, Shath Blight… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Dhan-Shomadhan_rice_leaf_disease_classification.MedLeafX_disease_classification
MedLeafX Disease Classification
A dataset for disease classification of 4 medicinal plant species: Camphor, Haritaki, Sojina, and Neem. The dataset contains 10,858 images across 6 classes: Bacterial Spot, Healthy Leaf, Powdery Mildew, Shot Hole, Shot Hole Leaf, Yellow Leaf.Images per class:
Bacterial Spot: 2,408
Healthy Leaf: 3,497
Powdery Mildew: 854
Shot Hole: 1,597
Shot Hole Leaf: 834
Yellow Leaf: 1,668
This dataset is indexed on https://project-agml.github.io/ as part of… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/MedLeafX_disease_classification.bean_cowpea_leaf_disease_classification
Bean Cowpea Leaf Disease Classification
A dataset for disease classification of bean and cowpea leaves. The dataset contains 4,467 images across 6 classes: Bacterial wilt, Blight, Fresh Leaf, Mosaic Virus, Rust, Septoria leaf spot.Images per class:
Bacterial wilt: 581
Blight: 510
Fresh Leaf: 1,090
Mosaic Virus: 1,141
Rust: 568
Septoria leaf spot: 577
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/bean_cowpea_leaf_disease_classification.chitrak_leaf_disease_classification
Chitrak Leaf Disease Classification
A dataset for disease classification of Chitrak Leaves. The dataset contains 10,660 images across 3 classes: dried, healthy, and unhealthy.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{patil2024plumbago,
title={Plumbago Zeylanica (Chitrak) leaf image dataset: a comprehensive collection for botanical studies, herbal medicine research, and environmental… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/chitrak_leaf_disease_classification.three_plant_leaf_disease_classification
Three Plant Leaf Disease Classification
A dataset for disease classification of three plant leaves: Aegle Marmelos, Hog Plum, and Lemon. The dataset contains raw and augmented versions.The raw dataset contains 3,941 images.Images per class:
Anthracnose: 360
Caterpillars_Infestation: 429
Cercospora_Leaf: 386
Citrus: 302
Healthy_Leaf: 674
Heathy_Leaf: 407
Leaf_Curl: 678
Leaf_Spot: 370
Sooty_Mold: 335
The augmented dataset contains 12,295 images.Images per class:
Anthracnose: 1… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/three_plant_leaf_disease_classification.Crop-Pest-and-Disease-Classification-Dataset
Crop Pest and Disease Classification Dataset
The current agricultural industry faces severe threats to crop yield and quality from pests and diseases. Traditional manual identification methods are inefficient and prone to errors. Existing solutions mostly rely on expert experience, lacking systematic and efficient approaches. This dataset aims to assist in the development of efficient AI models for automatic pest and disease classification by providing diverse crop pest and disease… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Crop-Pest-and-Disease-Classification-Dataset.grapevine_disease_classification
Grapevine Disease Classification
A dataset for disease classification of grapevines. The dataset contains 611 images across 4 classes and 4 grape varieties:
Images per class:
conf: 199
conf+: 77
esca: 107
fd: 228
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{tardif2023expertized,
title={An expertized grapevine disease image database including five grape varieties focused on Flavescence… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/grapevine_disease_classification.Hibiscus_Tea_disease_classification
Hibiscus Tea Disease Classification
A dataset for disease classification of Hibiscus and Tea leaves. The dataset contains raw and augmented versions.The raw dataset contains 1,411 images.Images per class:
Tea Algal Spot: 54
Tea Brown Blight: 48
Citruspot: 150
Early_Mild_Spotting: 83
Fungal_Infected: 28
Tea Grey Blight: 53
Healthy: 473
Mild_Edge_Damage: 226
Tea Red Spot: 44
Senescent: 40
Slightly_Diseased: 109
Wrinkled_Leaf: 55
The augmented dataset contains 12,417… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Hibiscus_Tea_disease_classification.