# wandb.data\_types.Image

[![](https://www.tensorflow.org/images/GitHub-Mark-32px.png)View source on GitHub](https://www.github.com/wandb/client/tree/v0.10.31.dev1/wandb/sdk/data_types.py#L1527-L1997)

Wandb class for images.

```python
Image(
    data_or_path: "ImageDataOrPathType",
    mode: Optional[str] = None,
    caption: Optional[str] = None,
    grouping: Optional[str] = None,
    classes: Optional[Union['Classes', Sequence[dict]]] = None,
    boxes: Optional[Union[Dict[str, 'BoundingBoxes2D'], Dict[str, dict]]] = None,
    masks: Optional[Union[Dict[str, 'ImageMask'], Dict[str, dict]]] = None
) -> None
```

| Arguments      |                                                                                                                                                                            |
| -------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `data_or_path` | (numpy array, string, io) Accepts numpy array of image data, or a PIL image. The class attempts to infer the data format and converts it.                                  |
| `mode`         | (string) The PIL mode for an image. Most common are "L", "RGB", "RGBA". Full explanation at <https://pillow.readthedocs.io/en/4.2.x/handbook/concepts.html#concept-modes>. |
| `caption`      | (string) Label for display of image.                                                                                                                                       |

## Methods

### `all_boxes` <a href="#all_boxes" id="all_boxes"></a>

[View source](https://www.github.com/wandb/client/tree/v0.10.31.dev1/wandb/sdk/data_types.py#L1946-L1967)

```python
@classmethod
all_boxes(
    images: Sequence['Image'],
    run: "LocalRun",
    run_key: str,
    step: Union[int, str]
) -> Union[List[Optional[dict]], bool]
```

### `all_captions` <a href="#all_captions" id="all_captions"></a>

[View source](https://www.github.com/wandb/client/tree/v0.10.31.dev1/wandb/sdk/data_types.py#L1969-L1973)

```python
@classmethod
all_captions(
    images: Sequence['Media']
) -> Union[bool, Sequence[Optional[str]]]
```

### `all_masks` <a href="#all_masks" id="all_masks"></a>

[View source](https://www.github.com/wandb/client/tree/v0.10.31.dev1/wandb/sdk/data_types.py#L1923-L1944)

```python
@classmethod
all_masks(
    images: Sequence['Image'],
    run: "LocalRun",
    run_key: str,
    step: Union[int, str]
) -> Union[List[Optional[dict]], bool]
```

### `guess_mode` <a href="#guess_mode" id="guess_mode"></a>

[View source](https://www.github.com/wandb/client/tree/v0.10.31.dev1/wandb/sdk/data_types.py#L1817-L1831)

```python
guess_mode(
    data: "np.ndarray"
) -> str
```

Guess what type of image the np.array is representing

### `to_uint8` <a href="#to_uint8" id="to_uint8"></a>

[View source](https://www.github.com/wandb/client/tree/v0.10.31.dev1/wandb/sdk/data_types.py#L1833-L1855)

```python
@classmethod
to_uint8(
    data: "np.ndarray"
) -> "np.ndarray"
```

Converts floating point image on the range \[0,1] and integer images on the range \[0,255] to uint8, clipping if necessary.

| Class Variables |         |
| --------------- | ------- |
| MAX\_DIMENSION  | `65500` |
| MAX\_ITEMS      | `108`   |


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