- 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.
Additional Documentation: Explore on Papers With Code
Source code:
tfds.datasets.malaria.BuilderVersions:
1.0.0(default): No release notes.
Download size:
337.08 MiBDataset size:
317.62 MiBAuto-cached (documentation): No
Splits:
| Split | Examples |
|---|---|
'train' |
27,558 |
- Feature structure:
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=uint8),
'label': ClassLabel(shape=(), dtype=int64, num_classes=2),
})
- Feature documentation:
| Feature | Class | Shape | Dtype | Description |
|---|---|---|---|---|
| FeaturesDict | ||||
| image | Image | (None, None, 3) | uint8 | |
| label | ClassLabel | int64 |
Supervised keys (See
as_superviseddoc):('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.}
}