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Detect any object in satellite imagery using a text prompt

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I built a browser-based tool that uses Vision-Language Models (VLMs) to detect objects in satellite imagery via natural language prompts. Draw a polygon on the map, type what you want to find (e.g., "swimming pools," "oil tanks," "solar panels"), and the system scans tile-by-tile, projecting bounding boxes back onto the globe as GeoJSON.The pipeline: pick zoom level + prompt → slice map into mercantile tiles → feed each tile + prompt to VLM → create bounding boxes → project to WGS84 coordinates → render on map.No login required for the demo. Works well for distinct structures zero-shot; struggles with dense/occluded objects where narrow YOLO models still win.

HN · launched Mar 8, 2026 · 22 upvotes (top 24%) · 0 views

Niche: computer vision software and models · 225 launches, 11 in the last 7 days ▼ -45% · Explore this niche →

Category and tags

  • Horizontal
  • Analytics & BI
  • B2B
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Yes It combines standard web mapping libraries with an existing Vision-Language Model or zero-shot object detection API running on sliced map tile images.

Discussion

7 comments analyzed.

Competitors mentioned: Danti

Concerns raised: Repeated submissions appearing as dishonest marketing strategy, Duplicate posting (posted yesterday with engagement)

Feature requests: Identify houses with rooftop solar installations

Competitors

Other products that read as similar to this one : 91 launches clear the similarity bar, closest 8 shown.

Attention rank: #17 of 92 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 128 days after the earliest competitor.

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