Build Your Own Image Search Using AI Object Detection, CDN and ElasticSearch
Explore this Workflow. Built for next generation AI app & agent building.
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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