Private Image Link Access Via AWS S3

Enable AWS bucket access permissions to view private images in Arize

Step 1. Ingest Embeddings Using Links To Your Private S3 Bucket
Add private S3 image URLs or URIs in the link_to_data_column_name (Python Pandas) or link_to_data (Python Single Record or any Data Connector in the UI). 
Once you upload to Arize, navigate to the 'Embeddings' tab to enable bucket access in S3. Click 'View Bucket Policy' to uncover bucket access information.
Click View Bucket Policy To Get Started
Note: Link to data currently only supports links to image files. Learn more about ingesting image data on the Computer Vision model type page.
CV Classification
Step 2. AWS Bucket Access Permissions 
Tag your bucket with the key arize-integration-key, the provided tag value, and AWS Policy. 
AWS Bucket Access Policy
Add Proof Of Ownership: Bucket Tag
In Arize: Copy the  arize-integration-key value
Arize Integration Key & Value
In AWS Console: Navigate to your S3 bucket -> Properties -> Edit Bucket Tags
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Navigate To Your Bucket Tags
In AWS Console: Set tag Key = arize-integration-key and Value as the value copied from the Arize UI 
Add Arize Key Name & Value In S3
Enable Bucket Access: AWS Policy 
In Arize UI: Copy the AWS policy from the Arize UI
AWS Policy to Copy and Paste to AWS S3
In the AWS console: Navigate to your S3 bucket -> Permission -> Edit Bucket Policy
Add/Edit bucket policy
In the AWS console: Paste AWS policy from Arize UI and edit the bucket name in the resource field
Add Access Policy To AWS From Arize
Step 3. Reload Page!
Reload the Arize UI to load your image data! 

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AWS S3

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Azure Blob Storage

Last modified 2mo ago