license: cc-by-4.0
task_categories:
- image-classification
- image-to-text
language:
- en
tags:
- leaf
- smart
- agriculture
- vision-language
size_categories:
- 100B<n<1T
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: file_name
dtype: string
- name: image
dtype: image
- name: caption
dtype: string
splits:
- name: train
num_bytes: 3157467895.716
num_examples: 121337
download_size: 7688794914
dataset_size: 3157467895.716
extra_gated_fields:
Full Name: text
Email Address: text
Institution or Company: text
Country: country
Intended Use of the Dataset:
type: select
options:
- Academic Research
- Educational Purpose
I agree to use this dataset for non-commercial purposes only: checkbox
The 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 viral diseases, and 3 mite-induced diseases, categorized into 97 classes. The dataset was meticulously collected and processed to minimize intra-class variations while ensuring clarity by maintaining a consistent imaging distance. The disease symptom descriptions were curated from reputable sources, including UME, NIH, and published studies, providing high-quality annotations to support AI-driven plant pathology research.
Notes
This is part of LeafNet dataset is public for training with ~ 70% of the whole dataset
BibTeX
If you found our work useful in your research, please consider citing our work at: Quoc, Khang Nguyen, Lan Le Thi Thu, and Luyl-Da Quach. "A Vision-Language Foundation Model for Leaf Disease Identification." arXiv preprint arXiv:2505.07019 (2025).
@article{quoc2025vision,
title={A Vision-Language Foundation Model for Leaf Disease Identification},
author={Quoc, Khang Nguyen and Thu, Lan Le Thi and Quach, Luyl-Da},
journal={arXiv preprint arXiv:2505.07019},
year={2025}
}