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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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/SoyNet_leaf_health_classification.

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Dataset Card

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