Object Detection And Cropping
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Detects objects in an image, crops them out, and indexes them.
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About This Workflow
Overview
This workflow automatically detects objects within a source image using a vision model, extracts each detected object into a separate cropped image based on its bounding box, and then uploads these cropped images to Cloudinary before indexing their URLs and metadata in Elasticsearch. This forms the basis of an image search system where users can search for images based on the objects they contain.
Key Features
- Object detection using Cloudflare Workers AI (Detr-Resnet-50).
- Image cropping based on detected object bounding boxes.
- Uploading cropped images to Cloudinary.
- Indexing image metadata and URLs in Elasticsearch.
How To Use
- Set Environment Variables: Configure
BASE_URL,WEBHOOK_URL, andAPI_BASE_URLin your n8n environment. - Configure Credentials: Set up credentials for Cloudflare, Cloudinary, and Elasticsearch.
- Trigger Workflow: Manually trigger the workflow or set up an external trigger.
- Monitor Results: Check Elasticsearch for indexed image data.
Apps Used
Workflow JSON
{
"id": "af9339fd-6a4e-4dc6-9beb-dd86f19cec5a",
"name": "Object Detection And Cropping",
"nodes": 0,
"category": "Computer Vision",
"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: af9339fd-6a4e...
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