Project-AgML/SoyNet_leaf_health_classification

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

@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