Datasets:

Project-AgML
/

corn_leaf_pest_classification

dataset_info:
  - config_name: augmented
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': healthy
              '1': helminthosporium_leaf_blight
              '2': spodoptera_frugiperda
              '3': zonocerus_variegatus
    splits:
      - name: train
        num_bytes: 376332533
        num_examples: 11772
    download_size: 371016118
    dataset_size: 376332533
  - config_name: raw
    features:
      - name: image
        dtype: image
      - name: label
        dtype:
          class_label:
            names:
              '0': healthy
              '1': helminthosporium_leaf_blight
              '2': spodoptera_frugiperda
              '3': zonocerus_variegatus
    splits:
      - name: train
        num_bytes: 6386222191
        num_examples: 1308
    download_size: 7249473765
    dataset_size: 6386222191
configs:
  - config_name: augmented
    data_files:
      - split: train
        path: augmented/train-*
  - config_name: raw
    data_files:
      - split: train
        path: raw/train-*
    default: true
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K

Corn Leaf Pest Classification

A dataset for image classification of Corn Leaf Pest Classification.
The raw dataset contains 1,308 images.
The augmented dataset contains 11,772 images.

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

Citation

@article{tchokogoue2025towards,
  title={Towards precision agriculture: A dataset for early detection of corn leaf pests},
  author={Tchokogou{\'e}, Thierry and Noumsi, Auguste Vigny and Atemkeng, Marcellin and Fono, Louis Aim{\'e}},
  journal={Data in Brief},
  volume={59},
  pages={111394},
  year={2025},
  publisher={Elsevier}
}

Tchokogoué, Thierry; Noumsi, Auguste; Atemkeng Teufack, Marcellin; FONO, LOUIS AIME (2024), “A Dataset for Early Detection of Corn Leaf Pests in Precision Agriculture”, Mendeley Data, V1, doi: 10.17632/ymvghfcww7.1

This dataset was reformatted from its original format to match HuggingFace standards.