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readme v6
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@ShrihanSolo
ShrihanSolo committed Sep 3, 2024
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Expand Up @@ -14,9 +14,9 @@ Scientific analysis requires an estimate of uncertainty on measurements. We adop

Domain Adaptation aligns an unlabelled "target" dataset with a labelled "source" dataset, so that predictions can be performed on both with accuracy. For this project, both source and target datasets are generated using ```deeplenstronomy```. Below we show a single 3-band image simulated using the source and target datasets, as a comparison.

![plot](../src/training/MVEUDA/figures/source_example.png)
![plot](./src/training/MVEUDA/figures/source_example.png)

![plot](../src/training/MVEUDA/figures/target_example.png)
![plot](./src/training/MVEUDA/figures/target_example.png)

The datasets with these images, as well as the training labels, can be downloaded from zenodo: https://zenodo.org/records/13647416.

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