Geo SAM: A QGIS plugin using Segment Anything Model (SAM) to accelerate geospatial image segmentation

Geo SAM is a QGIS plugin that aims to help people segment, delineate or label landforms efficiently when using large-size geospatial raster images. Segment Anything Model (SAM) is a foundation AI model with the superpower, but the model size is huge, and using it to process images can take a long time, even with a modern GPU. Our tool uses the strategies of encoding image features in advance and trimming the SAM model. The interactive segmentation process can be run in real-time on a laptop by only using a CPU, making it a convenient and efficient tool for dealing with satellite images.

The Geo SAM plugin includes two separate tools, the encoding tool and the segmentation tool. The encoding tool is designed to generate and save the image features using the SAM image encoder, and the encoding process only needs to run once per image. The segmentation tool is for interactively segmenting landforms, and it can only be used to segment preprocessed images (whose features have been generated in advance using the encoding tool, as the included demo image).