AWS Rekognition Image Label Detection to Google Sheets
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Detects labels in images using AWS Rekognition and stores the results, including image name, link, and detected labels, in a Google Sheet.
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About This Workflow
Overview
This workflow leverages AWS Rekognition to identify and extract labels from images. The detected labels, along with the image's name and a provided link, are then systematically appended to a Google Sheet for easy tracking and analysis.
Key Features
- Image label detection via AWS Rekognition.
- Extraction of image name and link from an HTTP request.
- Appending detected labels to a specified Google Sheet.
- Robust error handling to ensure workflow stability.
How To Use
- Set up AWS credentials in n8n.
- Configure the 'HTTP Request1' node with the URL pointing to your image data, ensuring it returns 'title', 'link', and potentially 'items'.
- Ensure the 'AWS Rekognition1' node is configured with your AWS credentials and set to 'detectLabels' with 'binaryData' enabled.
- Configure the 'Google Sheets2' node with your Google Sheets OAuth2 credentials, the correct 'sheetId', and 'operation' set to 'append'.
- Map the output from the 'HTTP Request1' and 'AWS Rekognition1' nodes to the 'Set3' node to prepare the data for the Google Sheet.
Apps Used
Workflow JSON
{
"id": "136886b6-aca9-4a6c-891b-021a91582560",
"name": "AWS Rekognition Image Label Detection to Google Sheets",
"nodes": 0,
"category": "AI & Machine Learning",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 136886b6-aca9...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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