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PLONK_YFCC
nicolas-dufour/PLONK_YFCC
PLONK_YFCC is a machine learning model from nicolas-dufour. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is a model of the approach described in the paper "Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation"
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At a glance
- License
- mit
- Access
- Public
- Created
- Dec 9, 2024
- Updated
- Sep 29, 2025
- SHA
- 4f358d09
Model card
From the Hugging Face model README
This is a model of the approach described in the paper "Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation"
@misc{dufour2024world80timestepsgenerative,
title={Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation},
author={Nicolas Dufour and David Picard and Vicky Kalogeiton and Loic Landrieu},
year={2024},
eprint={2412.06781},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2412.06781},
}
- Code: https://github.com/nicolas-dufour/plonk
- Docs: The model can be simply run by doing:
pip install diff-plonk
from plonk import PLONKPipeline
pipeline = PLONKPipeline("nicolas-dufour/PLONK_YFCC")
gps_coords = pipeline(images, batch_size=1024)
- License
- mit
- Created
- Dec 9, 2024
- Updated
- Sep 29, 2025