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

# Cloud Providers से डेटा आयात करें

AWS S3, Azure Blob Storage, और Google Cloud Storage जैसे cloud storage solutions बड़ी मात्रा में image data संग्रहीत करने के लिए अत्यधिक scalable और secure विकल्प प्रदान करते हैं। इन platforms ने विभिन्न applications के लिए data को manage और access करना पहले से कहीं अधिक सुविधाजनक बना दिया है। जब computer vision models के लिए data pipeline को streamline करने की बात आती है, तो Roboflow इन cloud storage services के साथ आसानी से integrate हो सकता है।

यदि आप AWS S3 का उपयोग करते हैं और चाहते हैं कि images निरंतर आधार पर अपने-आप sync हों, तो [Datasources](/roboflow/roboflow-hi/datasets/adding-data/datasources.md) का उपयोग करें। Datasources आपके bucket को Roboflow asset library में बिना किसी scripting के mirror करते हैं।

नीचे दिए गए scripted options one-time या ad-hoc uploads के लिए, या Azure Blob Storage और Google Cloud Storage के लिए उपयुक्त हैं, जहाँ automatic sync अभी उपलब्ध नहीं है।

{% content-ref url="/pages/4f04efec2d3652d8c9002bf83715ad17ffa08452" %}
[AWS S3 Bucket](/roboflow/roboflow-hi/datasets/adding-data/upload-data-from-aws-gcp-and-azure/aws-s3-bucket.md)
{% endcontent-ref %}

{% content-ref url="/pages/8568235cb6619a001faeaf83f78445cf85645a37" %}
[Azure Blob Storage](/roboflow/roboflow-hi/datasets/adding-data/upload-data-from-aws-gcp-and-azure/azure-blob-storage.md)
{% endcontent-ref %}

{% content-ref url="/pages/92c3ed5f6292e67ff1609d78232f46b5efb1c8b8" %}
[Google Cloud Storage](/roboflow/roboflow-hi/datasets/adding-data/upload-data-from-aws-gcp-and-azure/google-cloud-storage.md)
{% endcontent-ref %}


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