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jonathan-glider/Prithvi-100M_South_Korea_Demo
Prithvi-100M_South_Korea_Demo is a machine learning model from jonathan-glider. 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 apache-2.0.
The model follows the original repo I made simple modification by using original repo source code to visualize.
Downloads · 30 days
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Updated Oct 4, 2023
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From the Hugging Face model README
The model follows the original repo I made simple modification by using original repo source code to visualize.
Area: South Korea Jeollanam-do Sourced the image from this link Google map location link
Here's a sample video:
Please cite original repository.
If this model helped your research, please cite Prithvi-100M in your publications. Here is an example BibTeX entry:
@misc{Prithvi-100M,
author = {Jakubik, Johannes and Chu, Linsong and Fraccaro, Paolo and Gomes, Carlos and Nyirjesy, Gabby and Bangalore, Ranjini and Lambhate, Devyani and Das, Kamal and Oliveira Borges, Dario and Kimura, Daiki and Simumba, Naomi and Szwarcman, Daniela and Muszynski, Michal and Weldemariam, Kommy and Zadrozny, Bianca and Ganti, Raghu and Costa, Carlos and Edwards, Blair & Watson, Campbell and Mukkavilli, Karthik and Schmude, Johannes & Hamann, Hendrik and Robert, Parkin and Roy, Sujit and Phillips, Christopher and Ankur, Kumar and Ramasubramanian, Muthukumaran and Gurung, Iksha and Leong, Wei Ji and Avery, Ryan and Ramachandran, Rahul and Maskey, Manil and Olofossen, Pontus and Fancher, Elizabeth and Lee, Tsengdar and Murphy, Kevin and Duffy, Dan and Little, Mike and Alemohammad, Hamed and Cecil, Michael and Li, Steve and Khallaghi, Sam and Godwin, Denys and Ahmadi, Maryam and Kordi, Fatemeh and Saux, Bertrand and Pastick, Neal and Doucette, Peter and Fleckenstein, Rylie and Luanga, Dalton and Corvin, Alex and Granger, Erwan},
doi = {10.57967/hf/0952},
month = aug,
title = {{Prithvi-100M}},
repository-code = {https://github.com/NASA-IMPACT/hls-foundation-os},
year = {2023}
}