beans

• Description:

Beans is a dataset of images of beans taken in the field using smartphone cameras. It consists of 3 classes: 2 disease classes and the healthy class. Diseases depicted include Angular Leaf Spot and Bean Rust. Data was annotated by experts from the National Crops Resources Research Institute (NaCRRI) in Uganda and collected by the Makerere AI research lab.

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

• Source code: tfds.datasets.beans.Builder

• Versions:

  • 0.1.0 (default): No release notes.

• Download size: 171.69 MiB

• Dataset size: 171.63 MiB

• Auto-cached (documentation): Yes (test, validation), Only when shuffle_files=False (train)

• Splits:

• Feature structure:

FeaturesDict({
    'image': Image(shape=(500, 500, 3), dtype=uint8),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=3),
})

• Feature documentation:

• Supervised keys (See as_supervised doc): ('image', 'label')

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

• Citation:

@ONLINE {beansdata,
    author="Makerere AI Lab",
    title="Bean disease dataset",
    month="January",
    year="2020",
    url="https://github.com/AI-Lab-Makerere/ibean/"
}