---

task_categories:

- image-classification

---

# AutoTrain Dataset for project: stroke-classifier

## Dataset Description

This dataset has been automatically processed by AutoTrain for project stroke-classifier.

### Languages

The BCP-47 code for the dataset's language is unk.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json

[

  {

    "image": "<233x197 L PIL image>",

    "target": 0

  },

  {

    "image": "<233x197 L PIL image>",

    "target": 0

  }

]

```

### Dataset Fields

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

```json

{

  "image": "Image(decode=True, id=None)",

  "target": "ClassLabel(names=['notStroke', 'stroke'], id=None)"

}

```

### Dataset Splits

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

| Split name   | Num samples         |

| ------------ | ------------------- |

| train        | 1600 |

| valid        | 945 |