> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/datasets/versions/dataset-versions/image-augmentation/augmentation-types/noise-augmentation.md).

# Noise Augmentation

Inject random salt-and-pepper noise into images to make your model resilient to camera artifacts.

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://2252499186-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FNVfRxNsvCh4GOyqrjmzX%2Fuploads%2Fgit-blob-2347cf534e5a3427388b281e11477df72becafab%2Fimage%20(16).png?alt=media" alt=""><figcaption><p>Original Image</p></figcaption></figure>

<figure><img src="https://2252499186-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FNVfRxNsvCh4GOyqrjmzX%2Fuploads%2Fgit-blob-d9b6abe53204f78d4ebd355f5abfaf6af56e608d%2Fimage%20(15).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/)