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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.
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
Command line tools for processing and uploading Mapillary imagery
A simple yet highly configurable Mastodon bot that posts geotagged aerial imagery of a random location in the world.
Automated mapping of pedestrian networks from aerial imagery tiles
A dataset of 2D imagery, 3D point cloud data, and 3D vehicle bounding box labels all generated using the Grand Theft Auto 5 game engine.