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.

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

Visualization

  • 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}
}