Datasets:

Project-AgML
/

soybean_insect_classification

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': Caterpillar
            '1': Diabrotica_speciosa
            '2': Healthy
  splits:
    - name: train
      num_bytes: 825731608
      num_examples: 6410
  download_size: 865233446
  dataset_size: 825731608
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

Soybean Insect Classification

A dataset for image classification of damage from insects on Soybean leaves. The dataset contains 6,410 images across 3 classes: Caterpillar, Diabrotica_speciosa, Healthy.
Images per class:

Caterpillar: 3,309
Diabrotica_speciosa: 2,205
Healthy: 896

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

Citation

Mignoni, Maria Eloisa (2021), “Images of Soybean Leaves”, Mendeley Data, V1, doi: 10.17632/bycbh73438.1