# Blur Augmentation

모델이 카메라 초점 변화에 더 강해지도록 무작위 Gaussian blur를 추가합니다.

* Pixels: 이미지에 적용되는 blur의 양을 결정합니다(즉, blurring 과정의 kernel size이며, 모든 kernel size는 홀수입니다). 25 pixels가 최대 blur입니다.

## 예시

<figure><img src="/files/9b18ecee874d493e066990a193934c3166627980" alt=""><figcaption><p>원본 이미지</p></figcaption></figure>

<figure><img src="/files/ba9a41676a80b0d79f9763076e6add1d69b7a894" alt=""><figcaption><p>2.5 pixel 반경을 사용한 Blur Augmentation</p></figcaption></figure>

## 자세히 알아보기

* [이미지 Augmentation 기법으로서의 Blur의 중요성](https://blog.roboflow.com/using-blur-in-computer-vision-preprocessing/)


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