# Blur Augmentation

Add random Gaussian blur to help your model be more resilient to camera focus.

* Pixels: Determines the amount of blur applied to an image (i.e. the kernel size of the blurring process; all kernel sizes are odd). 25 pixels is max blur.

## 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.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-e4231561769d0b21f20b51db9a053cb7dbec17ae%2Fimage.png?alt=media" alt=""><figcaption><p>Blur Augmentation using a 2.5 pixel radius</p></figcaption></figure>

## Learn More

* [The Importance of Blur as an Image Augmentation Technique](https://blog.roboflow.com/using-blur-in-computer-vision-preprocessing/)


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