datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agarwood_leaf_disease_classification
Agarwood Leaf Disease Classification
A dataset for disease classification of agarwood leaves. The dataset contains 5,472 images across 14 classes: Anthracnose, Black spots, Brown clumps, Brown spots, Downy mildew, Flea Beetles, Healthy, Mealy bugs, Mosaic Viruses, Powdery mildew, Scale insect, Sooty mold, Spiders, Translucent lesion.Images per class:
Anthracnose: 232
Black spots: 674
Brown clumps: 118
Brown spots: 1,055
Downy mildew: 674
Flea Beetles: 115
Healthy: 415
Mealy… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/agarwood_leaf_disease_classification.apple_leaf_disease_classification
Apple Leaf Disease Classification
A dataset for image classification of Apple Leaf Disease Classification. The dataset contains 7,505 images across 3 classes: Alternaria, Apple_Mosaic, Healthy.Images per class:
Alternaria: 2,523
Apple_Mosaic: 2,523
Healthy: 2,459
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{yatoo2024indigenous,
title={An indigenous dataset for the detection and classification… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/apple_leaf_disease_classification.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.papaya_leaf_disease_classification_bangladesh
Papaya Leaf Disease Classification Bangladesh
A dataset for disease classification of Papaya leaves. The dataset contains raw and augmented versions.The raw dataset contains 1,400 images.Images per class:
Healthy Leaf: 182
Leaf Curl: 284
Mealybug: 233
Mite Disease: 243
Mosaic: 214
Ring Spot: 244
The augmented dataset contains 6,618 images.Images per class:
Healthy Leaf: 879
Leaf Curl: 1,334
Mealybug: 1,096
Mite Disease: 1,149
Mosaic: 1,009
Ring Spot: 1,151
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/papaya_leaf_disease_classification_bangladesh.maize_disease_classification
Maize Disease Classification
A dataset for disease classification of Maize leaves. The dataset contains 9,356 images across 3 classes: Healthy, MLN, MSV.Images per class:
Healthy: 3,073
MLN: 3,231
MSV: 3,052
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{mduma2024updating,
title={Updating “machine learning imagery dataset for maize crop: A case of Tanzania” with expanded data to cover the new… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/maize_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.BrinjalFruitX_disease_classification
BrinjalFruitX Disease Classification
A dataset for disease classification of brinjal fruit (eggplant). The dataset contains 1,823 images across 5 classes: Brinjal Fruit Creaking, Healty Brinjal, Phomopsis Bright, Shoot and Fruit Borer, Wet Rot.Images per class:
Brinjal Fruit Creaking: 200
Healty Brinjal: 514
Phomopsis Bright: 161
Shoot and Fruit Borer: 725
Wet Rot: 223
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/BrinjalFruitX_disease_classification.teaLeafBD_disease_classification
Tealeafbd Disease Classification Classification
A dataset for image classification of Tealeafbd Disease Classification. The dataset contains 5,278 images across 7 classes: Brown Blight, Gray Blight, Green mirid bug, Healthy leaf, Helopeltis, Red spider, Tea algal leaf spot.
Images per class:
Brown Blight: 508
Gray Blight: 1,013
Green mirid bug: 1,282
Healthy leaf: 935
Helopeltis: 607
Red spider: 515
Tea algal leaf spot: 418
This dataset is indexed on… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/teaLeafBD_disease_classification.CS-D_tea_leaf_disease_classification
Tea Leaf Disease Classification
A dataset for disease classification of tea leaves. The dataset contains 80,329 images across 6 classes: Blister_Blight, Brown_Blight, Healthy_leaves, Leaf_Red_Rust, Red_Spider_Mite, Tea_Mosquito_Bug.
Images per class:
Blister_Blight: 13,500
Brown_Blight: 13,500
Healthy_leaves: 12,829
Leaf_Red_Rust: 13,500
Red_Spider_Mite: 13,500
Tea_Mosquito_Bug: 13,500
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/CS-D_tea_leaf_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.MH_SoyaHealthVision_disease_classification_leaf
MH SoyaHealthVision Disease Classification Leaf
A dataset for disease classification of soybean leaves. The dataset contains 2,782 images across 6 classes: Caterpillar_Semilooper_Pest, Frog_Leaf_Eye, Healthy, Mosaic, Rust, Spectoria_Brown_Spot.Images per class:
Caterpillar_Semilooper_Pest: 582
Frog_Leaf_Eye: 169
Healthy: 204
Mosaic: 707
Rust: 852
Spectoria_Brown_Spot: 268
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/MH_SoyaHealthVision_disease_classification_leaf.rice_leaf_disease_classification
Rice Leaf Disease Classification
A dataset for image classification of Rice Leaf Disease Classification. The dataset contains 3,829 images across 6 classes: Bacterial_Leaf_Blight, Brown_Spot, Healthy_Rice_Leaf, Leaf_Blast, Leaf_Scald, Sheath_Blight.Images per class:
Bacterial_Leaf_Blight: 636
Brown_Spot: 646
Healthy_Rice_Leaf: 653
Leaf_Blast: 634
Leaf_Scald: 628
Sheath_Blight: 632
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_leaf_disease_classification.Rice-Disease-Classification-Dataset
🌾 Rice Disease Detection Dataset
Overview
The Rice Disease Detection Dataset is a curated collection of high-resolution images showcasing the health conditions of rice crops. It includes images across four distinct classes, enabling the development of machine learning models for detecting and diagnosing rice diseases effectively. This dataset is intended for agricultural researchers, machine learning enthusiasts, and AI practitioners working towards precision… See the full description on the dataset page: https://huggingface.co/datasets/LeafNet75/Rice-Disease-Classification-Dataset.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.plant_leaf_disease_classification
Plant Leaf Disease Classification
A dataset for disease classification of leaves from Bitter Gourd, Bottle Gourd, Tomato, Eggplant, Cauliflower, and Cucumber. The dataset contains 12,786 images across 16 classes:Images per class:
Anthracnose: 601
Anthracnose lesions: 535
Black Rot: 560
Downey mildew: 1,254
Downy mildew: 1,076
Eggplant Cercopora leaf spot: 723
Eggplant begomovirus: 720
Eggplant fresh leaf: 771
Eggplant verticillium wilt: 730
Fresh leaf: 2,122
Fusarium wilt: 502… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/plant_leaf_disease_classification.rice_leaf_disease_classification_india
Rice Leaf Disease Classification India
A dataset for disease classification of rice leaves. The dataset contains 5,932 images across 4 classes: Bacterialblight, Blast, Brownspot, Tungro.Images per class:
Bacterialblight: 1,584
Blast: 1,440
Brownspot: 1,600
Tungro: 1,308
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{sethy2020deep,
title={Deep feature based rice leaf disease identification using… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_leaf_disease_classification_india.soybean_leaf_disease_classification
Soybean Leaf Disease Classification
A dataset for disease classification of soybean leaves. The dataset contains 1,176 images across 6 classes: Bacterial leaf Blight, Dry_leaf, Healthy, Root_images, Septoria_Brown_Spot, Vein Necrosis.Images per class:
Bacterial leaf Blight: 226
Dry_leaf: 230
Healthy: 288
Root_images: 10
Septoria_Brown_Spot: 284
Vein Necrosis: 138
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/soybean_leaf_disease_classification.PriBel_betel_leaf_disease_classification
PriBel Betel Leaf Disease Classification
A dataset for disease classification of betel leaves. The dataset contains 1,800 images across 3 classes: Diseased, Dried, Healthy.Images per class:
Diseased: 509
Dried: 622
Healthy: 669
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{mane2025pribel,
title={PriBeL: A primary betel leaf dataset from field and controlled environment},
author={Mane, Gauri… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/PriBel_betel_leaf_disease_classification.arabica_coffee_leaf_disease_classification
Arabica Coffee Leaf Disease Classification
A dataset for disease classification of Arabica Coffee Leaf. The dataset contains 58,549 images across 5 classes: Cerscospora, Healthy, Leaf_rust, Miner, Phoma.Images per class:
Cerscospora: 7,681
Healthy: 18,983
Leaf_rust: 8,336
Miner: 16,978
Phoma: 6,571
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{jepkoech2021arabica,
title={Arabica coffee leaf… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/arabica_coffee_leaf_disease_classification.bean_disease_classification_tanzania
Bean Disease Classification Tanzania
A dataset for disease classification of bean leaves. The dataset contains 59,071 images across 3 classes: anthracnose, healthy, rust.Images per class:
anthracnose: 13,531
healthy: 24,972
rust: 20,568
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{laizer2024common,
title={Common beans imagery dataset for early detection of bean rust and bean anthracnose… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/bean_disease_classification_tanzania.OkraDiseaseNet_disease_classification
OkraDiseaseNet Disease Classification
A dataset for disease classification of okra leaves. The dataset contains 1,495 images across 6 classes: Alternaria Leaf Spot, Cercospora Leaf Spot, Downy Mildew, Healthy, Leaf curly virus, Phyllosticta leaf spot.Images per class:
Alternaria Leaf Spot: 321
Cercospora Leaf Spot: 212
Downy Mildew: 214
Healthy: 313
Leaf curly virus: 213
Phyllosticta leaf spot: 222
This dataset is indexed on https://project-agml.github.io/ as part of the AgML… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/OkraDiseaseNet_disease_classification.malabar_spinach_disease_classification
Malabar Spinach Disease Classification
A dataset for disease classification of Malabar Spinach leaves. The dataset contains raw and augmented versions.The raw dataset contains 603 images.Images per class:
anthracnose_leaf_spot: 214
healthy: 150
straw_mite: 239
The augmented dataset contains 5,868 images.Images per class:
anthracnose_leaf_spot: 2,140
healthy: 1,500
straw_mite: 2,228
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/malabar_spinach_disease_classification.plum_leaf_disease_classification
Plum Leaf Disease Classification
A dataset for image classification of plum leaf disease. The dataset contains 2,400 images across 6 classes: Bacterial_Spot, Brown_Blight, Dry, Healthy, Powdery_Mildew, Sooty_Mold.Images per class:
Bacterial_Spot: 400
Brown_Blight: 400
Dry: 400
Healthy: 400
Powdery_Mildew: 400
Sooty_Mold: 400
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{bhowmik2024customised… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/plum_leaf_disease_classification.lentil_disease_classification
Lentil Disease Classification
A dataset for disease classification of lentil leaves. The dataset contains 5,349 images across 4 classes: Ascochyta blight, Lentil Rust, Normal, Powdery Mildew.Images per class:
Ascochyta blight: 1,229
Lentil Rust: 1,248
Normal: 1,569
Powdery Mildew: 1,303
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{mahamud2025lentil,
title={Lentil plant disease and quality… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/lentil_disease_classification.paddy-disease-classification
Dataset Card for "paddy-disease-classification"
Taken from the Paddy Doctor Kaggle Competition
More Information needed
durian_disease_classification
Durian Disease Classification
A dataset for disease classification of durian. The dataset contains 5,451 images across 10 classes: anthracnose_disease, canker_disease, fruit_rot, mealybug_infestation, pink_disease, sooty_mold, stem_blight, stem_cracking_ gummosis, thrips_disease, yellow_leaf.
Images per class:
anthracnose_disease: 549
canker_disease: 557
fruit_rot: 528
mealybug_infestation: 536
pink_disease: 549
sooty_mold: 541
stem_blight: 554
stem_cracking_ gummosis: 560… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/durian_disease_classification.banana_disease_classification_tanzania
Banana Disease Classification Tanzania
A dataset for classification of banana leaf diseases. The dataset contains 16,092 images across 3 classes: black_sigatoka, fusarium_wilt, healthy.Images per class:
black_sigatoka: 5,767
fusarium_wilt: 4,697
healthy: 5,628
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{mduma2023dataset,
title={Dataset of banana leaves and stem images for object detection… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/banana_disease_classification_tanzania.MH_SoyaHealthVision_disease_classification_uav
MH SoyaHealthVision Disease Classification UAV
A dataset for disease classification of soybean leaves. The dataset contains 2,842 images across 4 classes: Healthy, Mosaic, Rust, Semilooper_Pest.Images per class:
Healthy: 280
Mosaic: 772
Rust: 1,000
Semilooper_Pest: 790
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{shinde2025indian,
title={An Indian UAV and leaf image dataset for integrated crop… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/MH_SoyaHealthVision_disease_classification_uav.sunflower_disease_classification
Sunflower Disease Classification
A dataset for disease classification of sunflowers. The dataset contains 2,358 images across 4 classes: Downy_mildew, Fresh_leaf, Gray_mold, Leaf_scars.Images per class:
Downy_mildew: 590
Fresh_leaf: 649
Gray_mold: 470
Leaf_scars: 649
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{sara2022extensive,
title={An extensive sunflower dataset representation for… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/sunflower_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.