Shypd.aiThe largest open index of AI toolssegmenteverygrain is an Open Source Data Labeling & Annotation tool that detects and segments grains in images using a SAM-based model. It provides interactive tools for refining segmentation results and supports fine-tuning for specific image types.
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segmenteverygrain is a Python package designed for instance segmentation of grains and grain-like objects in images, particularly useful in geomorphology and sedimentary geology for determining grain size and shape. It leverages Meta's SAM 2.1 (Segment Anything Model 2.1) for high-quality outlines, overcoming SAM's limitations by using a Unet-style convolutional neural network for initial segmentation and prompt generation. The tool includes interactive functions for cleaning up segmentation results, such as deleting, merging, and adding grains, and allows saving QC-d masks to improve the Unet model. It also offers modules for extracting individual grain images, feature extraction using pre-trained CNNs, and clustering for classification tasks.
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