Research toolkit for pixels-only image geolocation, retrieval, and evaluation
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Updated
Jun 5, 2026 - HTML
Research toolkit for pixels-only image geolocation, retrieval, and evaluation
Self-hosted tool that predicts where any photo was taken, using the GeoCLIP neural network. Runs entirely on your own machine — no uploads, no telemetry. Writes ESTIMATED coordinates into EXIF.
Free, open-source desktop app that estimates where a photo was taken. Self-contained, Windows, no paid APIs.
Campus-scale image geolocation using ResNet-50, grid-based localization, soft top-k decoding, FastAPI, and Streamlit.
Research implementation of image geolocation using CLIP visual embeddings and S2 Geometry concepts.
Image Geolocation using Pillow library in Python. Searching for exact coordinates embedded in exif data of an image, and extracting it.
Open-source AI image geolocation & OSINT tool — find GPS coordinates from any photo by matching against street view panoramas using MegaLoc + MASt3R
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