malaria
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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.
| Split |
Examples |
'train' |
27,558 |
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=uint8),
'label': ClassLabel(shape=(), dtype=int64, num_classes=2),
})
| Feature |
Class |
Shape |
Dtype |
Description |
|
FeaturesDict |
|
|
|
| image |
Image |
(None, None, 3) |
uint8 |
|
| label |
ClassLabel |
|
int64 |
|
@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.}
}
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Last updated 2024-06-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-06-01 UTC."],[],[],null,["# malaria\n\n\u003cbr /\u003e\n\n- **Description**:\n\nThe Malaria dataset contains a total of 27,558 cell images with equal instances\nof parasitized and uninfected cells from the thin blood smear slide images of\nsegmented cells.\n\n- **Additional Documentation** :\n [Explore on Papers With Code\n north_east](https://paperswithcode.com/dataset/malaria-dataset)\n\n- **Homepage** :\n \u003chttps://lhncbc.nlm.nih.gov/publication/pub9932\u003e\n\n- **Source code** :\n [`tfds.datasets.malaria.Builder`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/malaria/malaria_dataset_builder.py)\n\n- **Versions**:\n\n - **`1.0.0`** (default): No release notes.\n- **Download size** : `337.08 MiB`\n\n- **Dataset size** : `317.62 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|-----------|----------|\n| `'train'` | 27,558 |\n\n- **Feature structure**:\n\n FeaturesDict({\n 'image': Image(shape=(None, None, 3), dtype=uint8),\n 'label': ClassLabel(shape=(), dtype=int64, num_classes=2),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|--------------|-----------------|-------|-------------|\n| | FeaturesDict | | | |\n| image | Image | (None, None, 3) | uint8 | |\n| label | ClassLabel | | int64 | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('image', 'label')`\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n\n- **Examples** ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\n- **Citation**:\n\n @article{rajaraman2018pre,\n title={Pre-trained convolutional neural networks as feature extractors toward\n improved malaria parasite detection in thin blood smear images},\n author={Rajaraman, Sivaramakrishnan and Antani, Sameer K and Poostchi, Mahdieh\n and Silamut, Kamolrat and Hossain, Md A and Maude, Richard J and Jaeger,\n Stefan and Thoma, George R},\n journal={PeerJ},\n volume={6},\n pages={e4568},\n year={2018},\n publisher={PeerJ Inc.}\n }"]]
