VicenteVivan / geo-clip
This is an official PyTorch implementation of our NeurIPS 2023 paper "GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization"
Why this job: works in the areas we cover, but does not say which job it does
What it does
Similarly to OpenAI's CLIP, GeoCLIP is trained contrastively by matching Image-GPS pairs. By using the MP-16 dataset, composed of 4.7M Images taken across the globe, GeoCLIP learns distinctive visual features associated with different locations on earth.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 18 days ago
- Stars
- 419
- +4 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.3.0
- Released 18 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 60% closed
- 8 still open
- Pull requests
- 0 merged
- 1 waiting
- Releases
- 4
- 4 in the last year
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 100%
Topics
- deep-learning
- geolocalization
- geolocation-estimation
- machine-learning
- pytorch
- gps-embeddings
- geography
Project record
- JobOther AI tools
- StatusListed
- Commits46
- Forks52
- Watching3
- Stars in 28 days+9
- CreatedDec 12, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026