cassava

• Description:

Cassava consists of leaf images for the cassava plant depicting healthy and four (4) disease conditions; Cassava Mosaic Disease (CMD), Cassava Bacterial Blight (CBB), Cassava Greem Mite (CGM) and Cassava Brown Streak Disease (CBSD). Dataset consists of a total of 9430 labelled images. The 9430 labelled images are split into a training set (5656), a test set(1885) and a validation set (1889). The number of images per class are unbalanced with the two disease classes CMD and CBSD having 72% of the images.

• Homepage: https://www.kaggle.com/c/cassava-disease/overview

• Source code: tfds.image_classification.Cassava

• Versions:

  • 0.1.0 (default): No release notes.

• Download size: 1.26 GiB

• Dataset size: 1.26 GiB

• Auto-cached (documentation): No

• Splits:

Split	Examples
'test'	1,885
'train'	5,656
'validation'	1,889

• Feature structure:

FeaturesDict({
    'image': Image(shape=(None, None, 3), dtype=uint8),
    'image/filename': Text(shape=(), dtype=string),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=5),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
image	Image	(None, None, 3)	uint8
image/filename	Text		string
label	ClassLabel		int64

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

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

• Citation:

@misc{mwebaze2019icassava,
    title={iCassava 2019Fine-Grained Visual Categorization Challenge},
    author={Ernest Mwebaze and Timnit Gebru and Andrea Frome and Solomon Nsumba and Jeremy Tusubira},
    year={2019},
    eprint={1908.02900},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}