Can someone explain what are these models for? For a person who knows nothing about geo data, it looks like something that helps to process the data that satellites capture.
When using a huge pre-trained model from the internet that has been trained on a wide variety of images, it might not include a specific set of data. In this case that’s satellite remote sensing data (imagine images from a satellite). Moonshine seems to provide a pre trained weights and models that have seen remote sensing data during their training and therefore solve domain-specific tasks better than a model with weights that have been trained on a more general set of data.