Label Filter Masks

Filter masks are used complementary to labels to exclude data from the training and testing process. They are useful for removing data that is not relevant to your model, such as saturation masks, cloud masks, etc.

You can select which filter masks to apply by type, but make sure they are enabled in the Spectral Explorer.

To manage filter masks, see the Spectral Explorer part of this tutorial.