gmberton/CosPlace
Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
This project helps researchers and engineers quickly determine the geographical location of a query image by comparing it to a large database of known locations. It takes an image as input and outputs its predicted location, making it useful for robotics, autonomous vehicles, or large-scale mapping projects.
371 stars.
Use this if you need to perform visual geo-localization on large datasets with a method known for efficiency and good performance.
Not ideal if you are looking for the absolute latest, state-of-the-art visual place recognition model, as newer projects exist.
Stars
371
Forks
61
Language
Python
License
MIT
Category
Last pushed
Feb 10, 2026
Commits (30d)
0
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