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SAMBA (Segment Anything Model Based App) is a trainable segmentation tool for materials science that uses deep learning for fast, high-quality labels and random forests for robust, generalizable segmentations. It is accessible in the browser (https://www.sambasegment.com), without the need to download any external dependencies. This source code is a local version of the website which contains the frontend for the website (React + TSX) and the backend (Python + Flask). The frontend handles labelling and the backend sends back SAM embeddings (if requested) and segmentations.

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