---
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