Build Your Own Image Search Using AI Object Detection, CDN and ElasticSearch

This n8n workflow demonstrates how to automate indexing of images to build a object-based image search. By utilising a Detr-Resnet-50 Object Classification model, we can identify objects within an image and store these associations in Elasticsearch along with a reference to the image. How it works An image is imported into the workflow via HTTP request node. The image is then sent to Cloudflare's Worker AI API where the service runs the image through the Detr-Resnet-50 object classification model. The API returns the object associations with their positions in the image, labels and confidence score of the classification. Confidence scores of less the 0.9 are discarded for brevity. The image'

Help me set up the n8n workflow "Build Your Own Image Search Using AI Object Detection, CDN and ElasticSearch" (https://n8n.io/workflows/2331). It uses: Edit Image, HTTP Request, Elasticsearch. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.