README.md

metadata

task_categories:
  - image-classification

AutoTrain Dataset for project: chest-xray-demo

Dataset Description

This dataset has been automatically processed by AutoTrain for project chest-xray-demo.

The original dataset is located at https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia

Dataset Structure

├── train
│   ├── NORMAL
│   └── PNEUMONIA
└── valid
    ├── NORMAL
    └── PNEUMONIA

Data Instances

A sample from this dataset looks as follows:

[
  {
    "image": "<2090x1858 L PIL image>",
    "target": 0
  },
  {
    "image": "<1422x1152 L PIL image>",
    "target": 0
  }
]

Dataset Fields

The dataset has the following fields (also called "features"):

{
  "image": "Image(decode=True, id=None)",
  "target": "ClassLabel(num_classes=2, names=['NORMAL', 'PNEUMONIA'], id=None)"
}

Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follows:

Split name	Num samples
train	5216
valid	624