Dataset Summary NuTonic/sat bbox metadata sft v1 is a metadata first, procedural VLM SFT dataset built from an existing “sat bbox” style dataset tree (Sentinel‑2 chips + per tile JSON metadata sidecars, optionally paired Mapbox stills). The goal is to create high signal, production shaped supervision for multimodal chat models: Captioning for satellite chips Grounding (bounding boxes in normalized coordinates) for land cover regions Class focused captions and absence checks for specific land cover classes Cross view reasoning using optional Mapbox overhead context Production like analytical summaries that include: Sentinel‑2 imagery An additional procedural “analysis image” (a TiM like predicted class raster) A compact TiM shaped analytics JSON block A profile specific assistant summary (land use change, wildfire, flood pulse, etc.) This dataset is generated without calling Mapbox APIs ; it only uses paths that already exist in the input dataset root. What “procedural” means here The dataset uses deterministic, rule based / synthetic construction to: transform metadata sidecars into multiple supervised tasks, produce a TiM shaped analytics JSON structure, render an additional analy…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy