Elasticsearch puanlarıyla görsellerdeki nesneleri tespit edip kırpma

# Manualtrigger Workflow ## Overview Automated workflow: Manualtrigger Workflow. This workflow integrates 9 different services: elasticsearch, filter, httpRequest, stickyNote, splitOut. It contains 25 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 25 - Node Types: 9 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When clicking "Test workflow": manualTrigger - Fetch Source Image: httpRequest - Split Out Results Only: splitOut - Filter Score >= 0.9: filter - Crop Object From Image: editImage - Set Variables: set - Use Detr-Resnet-50 Object Classification: httpRequest - Upload to Cloudinary: httpRequest - Create Docs In Elasticsearch: elasticsearch - Sticky Note: stickyNote - ... and 15 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible