facebookresearch/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Jupyter NotebookOther
This is stars and forks stats for /facebookresearch/segment-anything repository. As of 21 Feb, 2024 this repository has 38981 stars and 4468 forks.

Segment Anything Meta AI Research, FAIR Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alex Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick [Paper] [Project] [Demo] [Dataset] [Blog] [BibTeX] The Segment Anything Model (SAM) produces high quality object masks from input prompts such as points or boxes, and it can be used to generate masks for all objects in an image. It has been trained on a dataset of 11 million images and 1.1...
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