Integrations
Edit Image
HTTP Request
Elasticsearch
Edit Fields (Set)
Sticky Note
Manual Trigger
Split Out
Filter
This rantir workflow demonstrates how to automate the indexing of images to build an object-based image search system.
Using a Detr-Resnet-50 Object Classification model, this workflow identifies objects within an image and stores these associations in Elasticsearch, along with a reference to the image.
How it works
- An image is imported into the workflow via the HTTP request node.
- The image is sent to Cloudflare's Worker AI API, which processes it through the Detr-Resnet-50 object classification model.
- The API returns object associations with their positions in the image, labels, and confidence scores for each classification.
- Classifications with confidence scores below 0.9 are discarded to maintain high relevance.
- The image URL and its identified objects are then indexed in an Elasticsearch server, ready for object-based searching.
Requirements
- A Cloudflare account with Workers AI enabled to access the object classification model.
- An Elasticsearch instance to store the image URL and related associations.
Extending this workflow
Enhance your indexed data by adding additional attributes or metrics relevant to your users.
Use a vector store to enable similarity search across images for more advanced search functionality.
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