Prithvi-EO-2.0 300M
Data and Resources
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Prithvi-EO-2.0-300M
Prithvi-EO-2.0-300M base model
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Prithvi-EO-2.0-300M-BurnScars
The pretrained Prithvi-EO-2.0-300M model is fine-tuned to segment...
Additional Info
| Field | Value |
|---|---|
| Last Updated | December 10, 2025, 14:07 (UTC) |
| Created | December 10, 2025, 14:07 (UTC) |
| bgInfo | <p>Background information can be found <a href="https://arxiv.org/html/2412.02732v2#S1" rel="noopener noreferrer" target="_blank"><strong><u>here.</u></strong></a></p> |
| creationMethod | <p>Details on the creation method can be found <a href="https://arxiv.org/html/2412.02732v2#S3" rel="noopener noreferrer" target="_blank" style="background-color: rgb(255, 255, 255);"><strong><u>here.</u></strong></a></p> |
| creatorEmail | |
| creatorName | |
| dataType | .pt |
| datasetPageUrl | https://hls.gsfc.nasa.gov/ |
| intendedUse | <p>Earth Observation Applications</p> |
| issueDate | 2024-12-03 |
| lastUpdateDate | 2025-10-09 |
| libsPkgsUsed | PyTorch |
| modelAccessMethod | Web Based |
| modelSize | 300 Million |
| modelUsageInfo | A demo can be found in the following URL: https://huggingface.co/spaces/ibm-nasa-geospatial/Prithvi-EO-2.0-Demo Information on how to fine-tune the model, can be found in the following repository: https://github.com/NASA-IMPACT/Prithvi-EO-2.0#fine-tuning |
| ndp_creator_md5 | a77afdf4a7057716a8229d2d6a21805b |
| pocEmail | pramonettivega@ucsd.edu |
| pocName | Pedro Ramonetti |
| publisherEmail | |
| publisherName | |
| purpose | |
| status | submitted |
| theme | [] |
| totalFilesSize | 1.3 GB |
| trainingData | <p>Information on the training data and sample can be found <a href="https://arxiv.org/html/2412.02732v2#S2" rel="noopener noreferrer" target="_blank"><strong><u>here.</u></strong></a></p> |
| trainingProcedure | <p>Details on the training procedure can be found <a href="https://arxiv.org/html/2412.02732v2#S3" rel="noopener noreferrer" target="_blank"><strong><u>here.</u></strong></a></p> |
| uploadType | model |