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# tf.image.random_saturation

Adjust the saturation of RGB images by a random factor.

### Used in the notebooks

Used in the tutorials

Equivalent to `adjust_saturation()` but uses a `saturation_factor` randomly picked in the interval `[lower, upper)`.

#### Usage Example:

````x = [[[1.0, 2.0, 3.0],`
`      [4.0, 5.0, 6.0]],`
`    [[7.0, 8.0, 9.0],`
`      [10.0, 11.0, 12.0]]]`
`tf.image.random_saturation(x, 5, 10)`
`<tf.Tensor: shape=(2, 2, 3), dtype=float32, numpy=`
`array([[[ 0. ,  1.5,  3. ],`
`        [ 0. ,  3. ,  6. ]],`
`       [[ 0. ,  4.5,  9. ],`
`        [ 0. ,  6. , 12. ]]], dtype=float32)>`
```

For producing deterministic results given a `seed` value, use `tf.image.stateless_random_saturation`. Unlike using the `seed` param with `tf.image.random_*` ops, `tf.image.stateless_random_*` ops guarantee the same results given the same seed independent of how many times the function is called, and independent of global seed settings (e.g. tf.random.set_seed).

`image` RGB image or images. The size of the last dimension must be 3.
`lower` float. Lower bound for the random saturation factor.
`upper` float. Upper bound for the random saturation factor.
`seed` An operation-specific seed. It will be used in conjunction with the graph-level seed to determine the real seeds that will be used in this operation. Please see the documentation of set_random_seed for its interaction with the graph-level random seed.

Adjusted image(s), same shape and DType as `image`.

`ValueError` if `upper <= lower` or if `lower < 0`.

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