Datasets:

Project-AgML
/

bean_disease_uganda

configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
license: cc-by-4.0
task_categories:
  - image-classification
size_categories:
  - 1K<n<10K
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': angular_leaf_spot
            '1': bean_rust
            '2': healthy
  splits:
    - name: train
      num_bytes: 143583487
      num_examples: 1034
    - name: validation
      num_bytes: 18492287
      num_examples: 133
    - name: test
      num_bytes: 17698571
      num_examples: 128
  download_size: 179966465
  dataset_size: 179774345

Bean Disease Uganda

A dataset for disease classification of bean leaves. The dataset contains 1,295 images across 3 classes: angular_leaf_spot, bean_rust, healthy.
Images per class:

angular_leaf_spot: 432
bean_rust: 436
healthy: 427

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

Citation

https://github.com/AI-Lab-Makerere/ibean/