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 |