Datasets:

Project-AgML
/

SoyNet_leaf_health_classification

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

@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