pneumonia_mnist

• Description:

MedMNIST Pneumonia Dataset

The PneumoniaMNIST is based on a prior dataset of 5,856 pediatric chest X-Ray images. The task is binary-class classification of pneumonia against normal. The source training set is split with a ratio of 9:1 into training and validation set, and use its source validation set as the test set. The source images are gray-scale, and their sizes are (384–2,916) × (127–2,713). The images are center-cropped with a window size of length of the short edge and resized into 1 × 28 × 28.

• Homepage: https://medmnist.com//

• Source code: tfds.datasets.pneumonia_mnist.Builder

• Versions:

  • 1.0.0 (default): Initial release.

• Download size: Unknown size

• Dataset size: 3.66 MiB

• Auto-cached (documentation): Yes

• Splits:

Split	Examples
'test'	624
'train'	4,708
'val'	524

• Feature structure:

FeaturesDict({
    'image': Image(shape=(28, 28, 1), dtype=uint8),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=2),
})

• Feature documentation:

Feature	Class	Shape	Dtype	Description
	FeaturesDict
image	Image	(28, 28, 1)	uint8
label	ClassLabel		int64

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

• Figure (tfds.show_examples):

• Examples (tfds.as_dataframe):

• Citation:

@article{yang2023medmnist,
  title={Medmnist v2-a large-scale lightweight benchmark for 2d and 3d biomedical image classification},
  author={Yang, Jiancheng and Shi, Rui and Wei, Donglai and Liu, Zequan and Zhao, Lin and Ke, Bilian and Pfister, Hanspeter and Ni, Bingbing},
  journal={Scientific Data},
  volume={10},
  number={1},
  pages={41},
  year={2023},
  publisher={Nature Publishing Group UK London}
}