Meta recently released the Segment Anything Model (SAM), an open-source Visual Foundation Model designed for auto-segmentation workflows. Encord has integrated SAM with its platform, enabling users to generate high-quality segmentation masks in seconds and streamline their labeling process. By incorporating automation into their workflow, teams can improve efficiency and accuracy in labeling workflows while reducing costs. Encord's auto-segmentation tool is compatible with various media types such as images, videos, satellite data, and DICOM data. Users can fine-tune SAM to tailor its performance to suit their project's needs, ensuring accurate and efficient segmentation of images for their application.