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2D semantic segmentation that assigns labels to multiple object categories on Potsdam dataset :rocket:

SAT-Landforms-Classifier is an image classification vision-language encoder model fine-tuned from google/siglip2-base-patch16-224 for a single-label classification task. It is designed to classify satellite images into different landform categories using the SiglipForImageClassification architecture