license: cc-by-4.0
datasets:
- wangyi111/Copernicus-Pretrain
tags:
- earth-observation
- remote-sensing
- sentinel
- foundation-model
Model Card for Copernicus-FM
Copernicus-FM is an extension of the DOFA foundation model, able to process any spectral or non-spectral sensor modality using extended dynamic hypernetworks and flexible metadata encoding. The model is pretrained on the Copernicus-Pretrain dataset with masked image modeling and continual distillation.
Model Details
Model Description
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Model Sources [optional]
- Repository: https://github.com/zhu-xlab/Copernicus-FM
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Uses
Direct Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
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Training Details
Training Data
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Training Procedure
Training Hyperparameters
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Evaluation
Testing Data, Factors & Metrics
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Factors
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Results
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Summary
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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Technical Specifications [optional]
Model Architecture and Objective
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Software
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