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
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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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