Datasets:

Project-AgML
/

groundnut_leaf_disease_classification

configs:
  - config_name: default
    default: true
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': ALTERNARIA LEAF SPOT
              '1': HEALTHY
              '2': LEAF SPOT
              '3': ROSETTE
              '4': RUST
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K

Groundnut Leaf Disease Classification

A dataset for image classification of Groundnut Leaf Disease Classification. The dataset contains 1,720 images across 5 classes: ALTERNARIA LEAF SPOT, HEALTHY, LEAF SPOT, ROSETTE, RUST.
Images per class:

ALTERNARIA LEAF SPOT: 450
HEALTHY: 600
LEAF SPOT: 450
ROSETTE: 100
RUST: 120

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{sasmal2024novel,
  title={A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases},
  author={Sasmal, Buddhadev and Das, Arunita and Dhal, Krishna Gopal and Saheb, Sk Belal and Khurma, Ruba Abu and Castillo, Pedro A},
  journal={Data in Brief},
  volume={55},
  pages={110763},
  year={2024},
  publisher={Elsevier}
}

Sasmal, Buddhadev ; Das, Arunita; Dhal, Krishna Gopal; Saheb, Belal; Abu Khurma, Ruba ; Castillo-Valdivieso, Pedro A. (2024), “A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases”, Mendeley Data, V2, doi: 10.17632/x6x5jkk873.2