Datasets:
File size: 1,361 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Disease
'1': Healthy
splits:
- name: train
num_bytes: 10050779185
num_examples: 3655
download_size: 9963944944
dataset_size: 10050779185
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# SoyNet Leaf Health Classification
A dataset for health classification of soy leaves. The dataset contains 3,655 images across 2 classes: Disease, Healthy.
Images per class:
- Disease: 3,210
- Healthy: 445
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{rajput2023soynet,
title={SoyNet: A high-resolution Indian soybean image dataset for leaf disease classification},
author={Rajput, Arpan Singh and Shukla, Shailja and Thakur, SS},
journal={Data in Brief},
volume={49},
pages={109447},
year={2023},
publisher={Elsevier}
}
```
Rajput, Arpan Singh ; Rajput, Alpa Singh; Shukla, Shailja; Thakur, S S (2026), “SoyNet: Indian Soybean Image dataset with quality images captured from the agriculture field ( healthy and disease Images)”, Mendeley Data, V3, doi: 10.17632/w2r855hpx8.3 |