datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Crop_Disease_Image_Dataset
Crop Disease Image Dataset (5 Crops, 19 Classes)
Dataset Summary
The Crop Disease Image Dataset is a curated, high-quality agricultural image dataset designed for computer vision, deep learning, and smart farming applications. It contains 22,169 RGB leaf images spanning 5 major crops across 19 distinct healthy and diseased classes.
This dataset was constructed by collecting, filtering, and standardizing images from multiple open-source agricultural repositories… See the full description on the dataset page: https://huggingface.co/datasets/ipartzix/Crop_Disease_Image_Dataset.Plant-Diseases-PlantVillage-Dataset
Dataset Card for Dataset Name
Train and Test (20%) splits for the PlantVillage-Dataset on the subject of plant disease
@article{Mohanty_Hughes_Salathé_2016,
title={Using deep learning for image-based plant disease detection},
volume={7},
DOI={10.3389/fpls.2016.01419},
journal={Frontiers in Plant Science},
author={Mohanty, Sharada P. and Hughes, David P. and Salathé, Marcel},
year={2016},
month={Sep}}
Dataset Details
Dataset Description
Curated by: [More… See the full description on the dataset page: https://huggingface.co/datasets/BrandonFors/Plant-Diseases-PlantVillage-Dataset.Crop_Disease_Images
Crop Disease Expert Annotations
1,026 expert annotations over 989 crop photographs, covering pests, diseases and nutrient deficiencies across 74 crop types. The images are included in this repository.
Every image is a photo taken by a smallholder farmer on their own plot and sent to Farmer.Chat, an AI advisory service run by Digital Green. Agronomists then reviewed each photo on Digital Green's annotation platform. Nothing here is scraped, staged, or lab-photographed.… See the full description on the dataset page: https://huggingface.co/datasets/DigiGreen/Crop_Disease_Images.idrid-disease-grading
Indian Diabetic Retinopathy Image Dataset (IDRiD)
This dataset is the disease grading portion of the IDRiD.
The original source of the dataset is here: https://ieee-dataport.org/open-access/indian-diabetic-retinopathy-image-dataset-idrid
BeejX-Crop-Disease-Dataset
BeejX Crop Disease Dataset
Edge-AI Data Solution for Crop Disease Recognition (Offline & Mobile-First).
Dataset Overview
The BeejX Crop Disease Dataset is an extensive, multi-crop image classification dataset curated for training lightweight Edge-AI models. The dataset is specifically structured and balanced to train models like MobileNetV2 (Quantized), enabling real-time, offline inference on low-end Android devices in rural agricultural areas.
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/bf369/BeejX-Crop-Disease-Dataset.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.bd-crop-vegetable-plant-disease-dataset
🌾 Bangladesh Multi-Crop Disease Classification Dataset
📖 Dataset Description
This comprehensive dataset contains 123,588 images across 94 disease classes from 13 different crops commonly cultivated in the Bangladeshi agricultural region. The dataset is specifically curated to address plant disease identification challenges in South Asian agriculture, with a focus on crops that are economically and nutritionally significant to Bangladesh and the broader region.The… See the full description on the dataset page: https://huggingface.co/datasets/Saon110/bd-crop-vegetable-plant-disease-dataset.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.tomato_leaf_disease
Tomato Leaf Disease
A dataset for image classification of Tomato Leaf Disease. The dataset contains 11,000 images across 10 classes: Bacterial Spot, Early Blight, Healthy, Late Blight, Leaf Mold, Septoria Leaf Spot, Spider Mites Two-spotted Spider Mite, Target Spot, Tomato Mosaic Virus, Tomato Yellow Leaf Curl Virus.Images per class:
Bacterial Spot: 1,100
Early Blight: 1,100
Healthy: 1,100
Late Blight: 1,100
Leaf Mold: 1,100
Septoria Leaf Spot: 1,100
Spider Mites Two-spotted… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tomato_leaf_disease.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.tea-leaf-disease-dataset
Data
Image data is not versioned in this repository. Only manifests, audit outputs,
and fingerprints are tracked, which is enough to verify and rebuild the exact
partition used.
Layout
data/
raw/ TeaLeafBD release as downloaded (gitignored)
tea_leaf_clean/ intermediate build (gitignored)
Tea_leaf_dataset/ FINAL audited dataset (gitignored)
manifests/ tracked audit artifacts
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.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.