---
license: afl-3.0
task_categories:
- image-classification
language:
- en
tags:
- disease
- foliage
- image
- classification
pretty_name: Foliagen
size_categories:
- 10K<n<100K
datasets:
- ASDID
- PlantVillage
- Soybean Leaf Disease Dataset
---

# Foliagen Dataset

The dataset is a foliage image dataset generated using a tool called [Foliagen](https://github.com/nabinpakka/FoliageGenerator).
The generation process utilizes single leaf image datasets, namely, [ASDID](https://datadryad.org/dataset/doi:10.5061/dryad.41ns1rnj3),
[PlantVillage](https://github.com/spMohanty/PlantVillage-Dataset), and [Soybean Leaf Disease Dataset](https://www.kaggle.com/datasets/sivm205/soybean-diseased-leaf-dataset).
A generated foliage image dataset can be arbitrarily sized, with each of its image having a specified rate of diseased
leaves (denoted by γ) and the rest being healthy ones. Being annotated by design, such generated datasets are valuable for (1) evaluating the SOTA classifiers when
applied to practical use and (2) pre-training general SOTA classifiers, making it possible to fine-tune them using any real-world foliage image dataset for improved
classification performance.

## License
This dataset is released under the [Academic Free License v3.0 (AFL-3.0)](https://opensource.org/licenses/AFL-3.0) which is compatible with the license of the datasets it uses 
to generate foliage images.