Datasets:
File size: 1,121 Bytes
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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/
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