# Noise Augmentation

Injects random salt and pepper noise to an image to help your model be more resilient to camera artifacts.

* Percent: Selects the percent of an image’s pixels that are affected, up to 25 percent.

## Example

<figure><img src="https://662926385-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M6S9nPJhEX9FYH6clfW%2Fuploads%2Fgit-blob-2347cf534e5a3427388b281e11477df72becafab%2Fimage%20(5).png?alt=media" alt=""><figcaption><p>Original Image</p></figcaption></figure>

<figure><img src="https://662926385-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M6S9nPJhEX9FYH6clfW%2Fuploads%2Fgit-blob-d9b6abe53204f78d4ebd355f5abfaf6af56e608d%2Fimage%20(3).png?alt=media" alt=""><figcaption><p>Noise Augmentation set to .3%</p></figcaption></figure>

## Learn More

* [Why Add Noise to Images for Machine Learning](https://blog.roboflow.com/why-to-add-noise-to-images-for-machine-learning/)