| --- |
| 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 |
