> 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/roboflow/roboflow-ko/datasets/adding-data/upload-data-from-aws-gcp-and-azure.md).

# 클라우드 제공업체에서 데이터 가져오기

AWS S3, Azure Blob Storage, Google Cloud Storage 같은 클라우드 스토리지 솔루션은 대량의 이미지 데이터를 저장하기 위한 확장성이 높고 안전한 옵션을 제공합니다. 이러한 플랫폼은 다양한 애플리케이션에서 데이터를 관리하고 액세스하는 일을 점점 더 편리하게 만들어 왔습니다. 컴퓨터 비전 모델을 위한 데이터 파이프라인을 간소화할 때, Roboflow는 이러한 클라우드 스토리지 서비스와 매끄럽게 통합될 수 있습니다.

AWS S3를 사용하고 이미지가 지속적으로 자동 동기화되길 원한다면 [Datasources](broken://pages/9b39be0f1f38c481a6fbce2748e49f77d55fc690) 대신 사용하세요. Datasources는 별도의 스크립팅 없이 버킷을 Roboflow asset library로 미러링합니다.

아래의 스크립트 방식 옵션은 일회성 또는 필요 시 업로드에 적합하며, 자동 동기화가 아직 제공되지 않는 Azure Blob Storage 및 Google Cloud Storage에도 적합합니다.

{% content-ref url="/pages/50804a7c50f6b676c779074f466d14eae013be21" %}
[AWS S3 Bucket](/roboflow/roboflow-ko/datasets/adding-data/upload-data-from-aws-gcp-and-azure/aws-s3-bucket.md)
{% endcontent-ref %}

{% content-ref url="/pages/473c636d126b462e9d5ab23a1259f38ea65f8327" %}
[Azure Blob Storage](/roboflow/roboflow-ko/datasets/adding-data/upload-data-from-aws-gcp-and-azure/azure-blob-storage.md)
{% endcontent-ref %}

{% content-ref url="/pages/5528bca8383e8db1ea9be29e682bdf50e18676c3" %}
[Google Cloud Storage](/roboflow/roboflow-ko/datasets/adding-data/upload-data-from-aws-gcp-and-azure/google-cloud-storage.md)
{% endcontent-ref %}


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