Embed the world: Multimodal AI for searchable aerial imagery at scale
In this post, we walk through the problem space, our architecture on Amazon Bedrock and Amazon OpenSearch Serverless, the evaluation methodology we built on OpenStreetMap ground truth, four experiments that compared embedding models, fusion strategies, captioning, and search meth
Why it matters
This story from AWS Machine Learning is relevant to the Infrastructure branch of the AI ecosystem and may affect models, products, or research direction.
Technical breakdown
In this post, we walk through the problem space, our architecture on Amazon Bedrock and Amazon OpenSearch Serverless, the evaluation methodology we built on OpenStreetMap ground truth, four experiments that compared embedding models, fusion strategies, captioning, and search methods, and the practical guidance you can apply when building a similar system. You’ll learn which design choices move the
Business impact
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