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Keras 2 API documentation /
Layers API /
Preprocessing layers /
Image augmentation layers /
RandomRotation layer

`RandomRotation`

class```
tf_keras.layers.RandomRotation(
factor,
fill_mode="reflect",
interpolation="bilinear",
seed=None,
fill_value=0.0,
**kwargs
)
```

A preprocessing layer which randomly rotates images during training.

This layer will apply random rotations to each image, filling empty space
according to `fill_mode`

.

By default, random rotations are only applied during training.
At inference time, the layer does nothing. If you need to apply random
rotations at inference time, set `training`

to True when calling the layer.

Input pixel values can be of any range (e.g. `[0., 1.)`

or `[0, 255]`

) and
of integer or floating point dtype.
By default, the layer will output floats.

For an overview and full list of preprocessing layers, see the preprocessing guide.

**Input shape**

3D (unbatched) or 4D (batched) tensor with shape:
`(..., height, width, channels)`

, in `"channels_last"`

format

**Output shape**

3D (unbatched) or 4D (batched) tensor with shape:
`(..., height, width, channels)`

, in `"channels_last"`

format

**Arguments**

**factor**: a float represented as fraction of 2 Pi, or a tuple of size 2 representing lower and upper bound for rotating clockwise and counter-clockwise. A positive values means rotating counter clock-wise, while a negative value means clock-wise. When represented as a single float, this value is used for both the upper and lower bound. For instance,`factor=(-0.2, 0.3)`

results in an output rotation by a random amount in the range`[-20% * 2pi, 30% * 2pi]`

.`factor=0.2`

results in an output rotating by a random amount in the range`[-20% * 2pi, 20% * 2pi]`

.**fill_mode**: Points outside the boundaries of the input are filled according to the given mode (one of`{"constant", "reflect", "wrap", "nearest"}`

).*reflect*:`(d c b a | a b c d | d c b a)`

The input is extended by reflecting about the edge of the last pixel.*constant*:`(k k k k | a b c d | k k k k)`

The input is extended by filling all values beyond the edge with the same constant value k = 0.*wrap*:`(a b c d | a b c d | a b c d)`

The input is extended by wrapping around to the opposite edge.*nearest*:`(a a a a | a b c d | d d d d)`

The input is extended by the nearest pixel.

**interpolation**: Interpolation mode. Supported values:`"nearest"`

,`"bilinear"`

.**seed**: Integer. Used to create a random seed.**fill_value**: a float represents the value to be filled outside the boundaries when`fill_mode="constant"`

.