Reverse Image Search over the National Gallery of Art

Show HN: Reverse Image Search over the National Gallery of Art

Reverse Image Search over the National Gallery of Art is active in the show hn launch space.

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We indexed 120K images from the National Gallery of Art for visual search. Text queries, image uploads, and "find similar" all in one retriever, fused with RRF.Demo: https://mxp.co/r/ngaStack: SigLIP (768-dim embeddings), Ray on 2× L4 GPUs, Qdrant. ~2 hours to process, <100ms queries.Why SigLIP over CLIP: sigmoid loss instead of softmax means embeddings live in a global semantic space—similarity scores stay consistent at scale instead of being batch-relative.The interesting part is the retriever. One stage, three optional inputs:- text → encode → kNN - image → encode → kNN - document_id → lookup stored embedding → kNNPass any combination. If multiple, fuse with reciprocal rank fusion (RRF).

Its activity falls under show hn launch; the profile below is assembled from public directory data.

The company is listed at the Show HN launch stage of development.

Website: mxp.co/r/nga