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--- |
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task_categories: |
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- image-classification |
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--- |
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# AutoTrain Dataset for project: chest-xray-demo |
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## Dataset Description |
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This dataset has been automatically processed by AutoTrain for project chest-xray-demo. |
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The original dataset is located at https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia |
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## Dataset Structure |
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``` |
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├── train |
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│ ├── NORMAL |
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│ └── PNEUMONIA |
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└── valid |
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├── NORMAL |
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└── PNEUMONIA |
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``` |
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### Data Instances |
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A sample from this dataset looks as follows: |
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```json |
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[ |
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{ |
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"image": "<2090x1858 L PIL image>", |
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"target": 0 |
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}, |
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{ |
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"image": "<1422x1152 L PIL image>", |
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"target": 0 |
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} |
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] |
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``` |
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### Dataset Fields |
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The dataset has the following fields (also called "features"): |
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```json |
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{ |
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"image": "Image(decode=True, id=None)", |
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"target": "ClassLabel(num_classes=2, names=['NORMAL', 'PNEUMONIA'], id=None)" |
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} |
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``` |
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### Dataset Splits |
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This dataset is split into a train and validation split. The split sizes are as follows: |
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| Split name | Num samples | |
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| ------------ | ------------------- | |
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| train | 5216 | |
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| valid | 624 | |
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