# tf.image.random_flip_left_right

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|---|---|
| [![](https://www.tensorflow.org/images/tf_logo_32px.png) TensorFlow 1 version](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/image/random_flip_left_right) | [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.2.0/tensorflow/python/ops/image_ops_impl.py#L363-L401) |

Randomly flip an image horizontally (left to right).

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.image.random_flip_left_right`](https://www.tensorflow.org/api_docs/python/tf/image/random_flip_left_right)

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    tf.image.random_flip_left_right(
        image, seed=None
    )

With a 1 in 2 chance, outputs the contents of `image` flipped along the
second dimension, which is `width`. Otherwise output the image as-is.
When passing a batch of images, each image will be randomly flipped
independent of other images.

#### Example usage:

    import numpy as np

    image = np.array([[[1], [2]], [[3], [4]]])
    tf.image.random_flip_left_right(image, 5).numpy().tolist()
    [[[2], [1]], [[4], [3]]]

Randomly flip multiple images.
> > > images = np.array(
> > > ... \[
> > > ... \[\[\[1\], \[2\]\], \[\[3\], \[4\]\]\],
> > > ... \[\[\[5\], \[6\]\], \[\[7\], \[8\]\]\]
> > > ... \])
> > > tf.image.random_flip_left_right(images, 6).numpy().tolist()
> > > \[\[\[\[2\], \[1\]\], \[\[4\], \[3\]\]\], \[\[\[5\], \[6\]\], \[\[7\], \[8\]\]\]\]

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| ## Args ||
|---|---|
| `image` | 4-D Tensor of shape `[batch, height, width, channels]` or 3-D Tensor of shape `[height, width, channels]`. |
| `seed` | A Python integer. Used to create a random seed. See [`tf.compat.v1.set_random_seed`](https://www.tensorflow.org/versions/r2.2/api_docs/python/tf/compat/v1/set_random_seed) for behavior. |

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| ## Returns ||
|---|---|
| A tensor of the same type and shape as `image`. ||

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| ## Raises ||
|---|---|
| `ValueError` | if the shape of `image` not supported. |

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