mmenendezg/pneumonia_x_ray

Chest X-Ray Pneumonia Dataset

This dataset contains chest x-ray images of independent patients that can be classified into normal (healthy) or pneumonia (diseased) patients.

This dataset is a processed version of the original Large Dataset of Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images dataset provided by the University of California San Diego.

The dataset contains three splits:

• Train: 4187 images
• Validation: 1045 images
• Test: 624 images

The shape of the images is [500, 500, 3], and the labels have two possible values:

• 0: Normal
• 1: Pneumonia

References:

• Kermany, Daniel; Zhang, Kang; Goldbaum, Michael (2018), “Large Dataset of Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images”, Mendeley Data, V3, doi: 10.17632/rscbjbr9sj.3