malaria

• Visualization: Explore in Know Your Data north_east

• Description:

The Malaria dataset contains a total of 27,558 cell images with equal instances of parasitized and uninfected cells from the thin blood smear slide images of segmented cells.

• Homepage: https://lhncbc.nlm.nih.gov/publication/pub9932

• Source code: tfds.image_classification.Malaria

• Versions:

  • 1.0.0 (default): No release notes.

• Download size: 337.08 MiB

• Dataset size: Unknown size

• Auto-cached (documentation): Unknown

• Splits:

Split	Examples
'train'	27,558

• Feature structure:

FeaturesDict({
    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
image	Image	(None, None, 3)	tf.uint8
label	ClassLabel		tf.int64

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

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

• Citation:

@article{rajaraman2018pre,
  title={Pre-trained convolutional neural networks as feature extractors toward
  improved malaria parasite detection in thin blood smear images},
  author={Rajaraman, Sivaramakrishnan and Antani, Sameer K and Poostchi, Mahdieh
  and Silamut, Kamolrat and Hossain, Md A and Maude, Richard J and Jaeger,
  Stefan and Thoma, George R},
  journal={PeerJ},
  volume={6},
  pages={e4568},
  year={2018},
  publisher={PeerJ Inc.}
}