Prototype: 3DGS spatial classification powered by TypeSafe

@DuckbillStudio ダックビル＠STUDIO DUCKBILL LLC · Sep 21, 2026 · case #002117 · listed via Jev Hub

Still from the clip posted with this case; watch it in the original post on X.

Built a 3D Gaussian splatting prototype that uses Jev to classify the surrounding scene into categories like indoor, forest, or coast.

The original post

Prototype: 3DGS spatial classification powered by TypeSafe AI's Jev. Stand still for 2s and it fires automatically — result in 1–2s. indoor → waterside → forest → urban → coast → mountain → park Traversability combines ground geometry with the scene understanding.

Engagement when collected

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the classification & data extraction page.

🗂️ Classification & data extraction