# 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
region:us
{"dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "normal", "1": "pneumonia"}}}}], "splits": [{"name": "train", "num_bytes": 126906525.958, "num_examples": 4187}, {"name": "validation", "num_bytes": 27684376.78, "num_examples": 1045}, {"name": "test", "num_bytes": 16275405.0, "num_examples": 624}], "download_size": 153423742, "dataset_size": 170866307.738}, "configs": [{"config_name": "default", "data_files": [{"split": "train", "path": "data/train-*"}, {"split": "validation", "path": "data/validation-*"}, {"split": "test", "path": "data/test-*"}]}]}
TAGS
#region-us 

# 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
# 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
TAGS
#region-us 
 # 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
passage: TAGS
#region-us 
# 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