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.ngld-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.ngld-grape-leaf-vlm-w-img-without-diff-ref-v8ngld-grape-leaf-vlm-w-img-without-diff-ref-v7
cleaned + coppped
LeafDiseaseDatasetwhite-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.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.dirty-with-leafcontextrubber-tree-leaf-disease-ph-segmentedtracktext
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.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.SwissProt-EC-leaf
Dataset
Swissprot is a high quality manually annotated protein database. The dataset contains annotations with the functional properties of the proteins. Here we extract proteins with Enzyme Commission labels.
The dataset is ported from Protinfer: https://github.com/google-research/proteinfer.
The leaf level EC-labels are extracted and indexed, the mapping is provided in idx_mapping.json. Proteins without leaf-level-EC tags are removed.
Example
The protein Q87BZ2 have… See the full description on the dataset page: https://huggingface.co/datasets/lightonai/SwissProt-EC-leaf.tomato-leaf-disease-imageLeafNet2.0LeafNet
LeafNet
LeafNet is a large-scale multimodal dataset for plant disease diagnosis,
introduced in "LeafNet: A Large-Scale Dataset and Comprehensive Benchmark
for Foundational Vision-Language Understanding of Plant Diseases"
(arXiv:2602.13662). The full dataset comprises 186,000 leaf images across
22 crop species and 97 classes (43 fungal diseases, 8 bacterial diseases,
2 mould/oomycete diseases, 6 viral diseases, 3 mite-induced diseases, plus
healthy leaves), each paired with an… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/LeafNet.o1_reflectionnanobeir-mdbr-leaf-irtomato_leaf_disease_detection
Tomato Leaf Disease Detection
This dataset provides real-world RGB images of tomato leaves affected by various diseases, captured in agricultural field environments across multiple districts in Bangladesh. Images were collected using Canon EOS M50 cameras under natural outdoor conditions to support object detection tasks for disease identification in real farming scenarios. The dataset contains 689 images with 2,278 bounding box annotations across 7 categories.
This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/tomato_leaf_disease_detection.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.LeafBenchV2
LeafBench 2.0
LeafBench 2.0 is a visual question answering (VQA) benchmark for evaluating fine-grained plant disease understanding in vision-language models (VLMs). Derived directly from LeafNet 2.0, the benchmark consists of multiple-choice questions spanning 9 complementary plant pathology tasks, designed to assess disease understanding beyond coarse category recognition.
LeafBench 2.0 was evaluated across 16 VLMs including 7 CLIP-based models, 7 generative VLMs, and 2… See the full description on the dataset page: https://huggingface.co/datasets/enalis/LeafBenchV2.cassava-leaf-disease-classificationThis dataset is a Hugging Face version of the dataset in the Kaggle competition.
Citation
@misc{cassava-leaf-disease-classification,
author = {ErnestMwebaze and Jesse Mostipak and Joyce and Julia Elliott and Sohier Dane},
title = {Cassava Leaf Disease Classification},
year = {2020},
howpublished = {\url{https://kaggle.com/competitions/cassava-leaf-disease-classification}},
note = {Kaggle}
}
leaf_disease_detection
Leaf Disease Detection Dataset
Dataset Description
This dataset is designed for few-shot learning in the context of plant disease detection, specifically targeting tea anthracnose, tea brown blight, cotton fusarium wilt, and cotton powdery mildew. The dataset is a combination of self-collected data from tea gardens in Ya'an City, Sichuan Province, China, and publicly available disease image resources from the internet. It aims to support the development and evaluation of… See the full description on the dataset page: https://huggingface.co/datasets/ttkqwe123/leaf_disease_detection.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.ngld-grape-leaf-vlm-w-img-without-diff-ref-v4
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 leaves categorized… See the full description on the dataset page: https://huggingface.co/datasets/qingwuuu/ngld-grape-leaf-vlm-w-img-without-diff-ref-v4.leaf_classificationSwissProt-EC-leaf_updStable-diffusion-configsDetailedReflection-Claude-v3_5-Sonnet
DetailedReflection-Claude-v3_5-Sonnet
This is a reflection dataset inspired by OpenAI's o1 model. It contains filtered prompts from anthracite-org/kalo-opus-instruct-22k-no-refusal.
The data was generated by Claude 3.5 Sonnet with a custom system prompt and sampling parameters on OpenRouter.
chili_leaf_curl_detection
Chili Leaf Curl Detection
The dataset comprises real RGB images of chili leaves captured in a mixed agricultural environment at IARI, New Delhi, India, using a handheld smartphone. It depicts natural field conditions for object detection tasks focused on identifying disease symptoms related to chili leaf curl complex. The dataset contains 1,419 images with 12,205 bounding box annotations across 3 categories.
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/chili_leaf_curl_detection.ngld-grape-leaf-vlm-w-img-without-diff-ref-v2-test
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 leaves categorized… See the full description on the dataset page: https://huggingface.co/datasets/qingwuuu/ngld-grape-leaf-vlm-w-img-without-diff-ref-v2-test.