---
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/