# Saturation Augmentation

이미지의 색상 활기를 무작위로 조정합니다.

0%99%25%\\

## 예시

<figure><img src="https://3958014485-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>원본 이미지</p></figcaption></figure>

<figure><img src="https://3958014485-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M6S9nPJhEX9FYH6clfW%2Fuploads%2Fgit-blob-ae62b97e1439c74de8572a63564c8ce1ae329de5%2Fimage.png?alt=media" alt=""><figcaption><p>채도 증강 +30%</p></figcaption></figure>

<figure><img src="https://3958014485-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-M6S9nPJhEX9FYH6clfW%2Fuploads%2Fgit-blob-0071634603d2841babe65944aa4d3534383e1c37%2Fimage.png?alt=media" alt=""><figcaption><p>채도 증강 -30%</p></figcaption></figure>

## 자세히 알아보기

* [머신러닝을 위해 이미지에 노이즈를 추가하는 이유](https://blog.roboflow.com/why-to-add-noise-to-images-for-machine-learning/)