datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
leafy_spurge
Background
This dataset comprises 1.3 cm resolution aerial images of grasslands in western Montana, USA, captured by a commercial drone. Many scenes contain leafy spurge (Euphorbia esula), introduced to North America, now widespread in rangeland ecosystems, which is highly invasive and damaging to crop production and biodiversity. Technicians surveyed 1000 points in the study area, noting spurge presence or absence, and recorded each point’s position with precision global… See the full description on the dataset page: https://huggingface.co/datasets/mpg-ranch/leafy_spurge.sd3-images
Stable Diffusion 3 Images
A dataset of 1:1 images generated by Stable Diffusion 3, through glif.app.
Find the prompts in prompts.json, they correspond to the image based on number, for example the first element in the JSON array is x, then the image you're looking for is 0.jpg, and so on.
Prompts sourced from MohamedRashad/midjourney-detailed-prompts.
Data
You can find enhanced images by Gigapixel AI in the enhanced folder; these are the same 1024x1024 quality, but… See the full description on the dataset page: https://huggingface.co/datasets/leafspark/sd3-images.cassava-leaf-disease-classificationngld-grape-leaf-vlm-w-img-without-diff-ref-v6
cleaned
Dataset Source and Credits
This dataset is derived from the Niphad Grape Leaf Disease Dataset (NGLD) published on Mendeley Data.
Original dataset:
Title: Niphad Grape Leaf Disease Dataset (NGLD)
Authors: Madhuri Dharrao, Deepak Dharrao, Rakesh Sonawane
Institution: Symbiosis Institute of Technology, Symbiosis International University
DOI: https://doi.org/10.17632/8nnd2ypcv3.1
License: CC BY 4.0
The original dataset contains high-quality images of table grape… See the full description on the dataset page: https://huggingface.co/datasets/qingwuuu/ngld-grape-leaf-vlm-w-img-without-diff-ref-v6.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.LeafNetCorn_or_Maize_Leaf_Disease_Datasetngld-grape-leaf-vlm-w-img-without-diff-ref-v8ngld-grape-leaf-vlm-w-img-without-diff-ref-v7
cleaned + coppped
corn_leaf_pest_classification
Corn Leaf Pest Classification
A dataset for image classification of Corn Leaf Pest Classification.The raw dataset contains 1,308 images.The augmented dataset contains 11,772 images.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{tchokogoue2025towards,
title={Towards precision agriculture: A dataset for early detection of corn leaf pests},
author={Tchokogou{\'e}, Thierry and Noumsi, Auguste… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/corn_leaf_pest_classification.LeafSense_Dataset
LeafSense Dataset
Leaf specimen image dataset and trained model weights for the LeafSense AI leaf species classification project, covering 10 leaf specimens across 5 plant families: Fabaceae, Moraceae, Euphorbiaceae, Arecaceae, and Malvaceae.
Dataset Details
900 raw images per specimen (500 train / 300 validation / 100 test) → 9,000 raw images total
7x augmentation applied to train/validation images → 56,000+ images total
Contents
LeafSense/ and… See the full description on the dataset page: https://huggingface.co/datasets/postym/LeafSense_Dataset.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.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.LeafCondition
AutoTrain Dataset for project: leaf
Dataset Description
This dataset has been automatically processed by AutoTrain for project leaf.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<256x256 RGB PIL image>",
"target": 4
},
{
"image": "<256x256 RGB PIL image>",
"target": 1
}]
Dataset Fields
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/OttoYu/LeafCondition.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
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.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.LeafDiseaseDatasetmaize-leaf-disease
Dataset Card for "maize-leaf-disease"
More Information needed
white-cabbage-leaf-damage
White Cabbage Leaf Damage Dataset
Description
This dataset contains images of white cabbage leaves with various types of damage. It is designed for researchers and developers working on agricultural computer vision and plant pathology detection.
Dataset Structure
The dataset is organized into folders representing different classes of leaf damage or healthy states.
Usage
You can use this dataset with the datasets library:
from datasets… See the full description on the dataset page: https://huggingface.co/datasets/Arko007/white-cabbage-leaf-damage.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.LeafNetThe PlantVillage dataset, with over 54,000 images spanning 14 plant species and 26 disease types, has been widely used for leaf disease classification. However, it is limited in both scale and diversity. To address these limitations, we developed LeafNet, a large-scale dataset designed to support foundation models for leaf disease diagnosis. We introduce LeafNet comprises over 186,000 images from 22 crop species, covering 43 fungal diseases, 8 bacterial diseases, 2 mould (oomycete) diseases, 6… See the full description on the dataset page: https://huggingface.co/datasets/enalis/LeafNet.Matthiola-incana-Leaf-Image-Classification
Matthiola incana Leaf Image Classification dataset
Matthiola incana Leaf Image Classification(MiLIC) dataset is intended to create a model for classifying images of Matthiola incana leaves into single-flowered leaf or double-flowered leaf.
Matthiola incana
Matthiola incana, a member of the family Brassicaceae, is an ornamental plant cultivated worldwide for its beautiful flowers. This species exhibits two flower forms: single and double flowers. The market for… See the full description on the dataset page: https://huggingface.co/datasets/Kentaro-Machida/Matthiola-incana-Leaf-Image-Classification.rubber-tree-leaf-disease-ph-segmentedcassava_leaf_diseases_dsa_2023rice_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.potato_leaf_blight
Potato Leaf Blight Classification
A dataset for disease classification of Irish Potato leaves. The dataset contains 58,709 images across 3 classes: earlyblt, healthy, lateblt.Images per class:
earlyblt: 17,772
healthy: 20,438
lateblt: 20,499
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{laizer2025irish,
title={Irish potato imagery dataset for detection of early and late blight diseases}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/potato_leaf_blight.tracktext
tracktext
An experimental dataset that contains 128x64 greyscale images of TrackMania gameplay + keystrokes, designed for LLMs with 16k context or above.
Inspired by DOOM-Mistral-7b :)
Dataset Details
Format:
{data}
[0.0, 0.0, 0.0, 0.0],
[0.0, 0.0, 0.0, 0.0],
...
{action}
[0, 0, 0, 0]
Greyscale Precision: 1 decimal
Capture rate: 6 frames per second
Uses
To train an LLM how to play TrackMania.
Direct Use
Specialized LLM
Out-of-Scope Use… See the full description on the dataset page: https://huggingface.co/datasets/leafspark/tracktext.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.