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An agent skill that finds where a photo was taken — OpenStreetMap geometry, elevation skylines, satellite imagery and street view — and shows its work. Works with Claude Code, Codex, Cursor, Gemini CLI, OpenCode and GitHub Copilot.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
An open source library and framework for deep learning on satellite and aerial imagery.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
A 1:1 scale streamed Earth for BeamNG.drive: real elevation and satellite imagery, floating origin, LOD streaming from a companion server
Train a deep learning net with OpenStreetMap features and satellite imagery.
Give satellite imagery, terrain data, buildings, streetview photos to your LLM
Official Hi3D v1.0: high-resolution 3D geometry refinement built on Sparc3D. Inference code, model weights, and documentation.
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.