metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': NORMAL
'1': PNEUMONIA
splits:
- name: train
num_bytes: 3186635036.504
num_examples: 5216
- name: validation
num_bytes: 3030633
num_examples: 16
- name: test
num_bytes: 79062317
num_examples: 624
download_size: 1230487052
dataset_size: 3268727986.504
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
license: mit
task_categories:
- image-classification
language:
- en
- fr
tags:
- medical
size_categories:
- 1K<n<10K
Zoidberg2.0
The data has been taken from kaggle
Usage
Install Hugging Face's datasets library
pip install datasets
Load the dataset with the following lines
from datasets import load_dataset
dataset = load_dataset("Az-r-ow/chest_xray")
For more information on how to manipulate the data checkout the docs