Introducing the Segment Anything Project: Making Image Segmentation Accessible to All Are you tired of needing highly specialized expertise and infrastructure to create accurate image segmentation models? Look no further than the Segment Anything project! This new task, dataset, and model for image segmentation is making it easy for anyone to identify which pixels in an image belong to a specific object. SAM and SA-1B: The Core of the Segment Anything Project The Segment Anything Model (SAM) and Segment Anything 1-Billion mask dataset (SA-1B) are the building blocks of the Segment Anything project. With SAM and SA-1B, creating accurate segmentation models is no longer limited to the realm of technical experts. SAM is available under a permissive open license (Apache 2.0) and the SA-1B dataset is available for research purposes. Building a Foundation Model for Image Segmentation The Segment Anything project's goal was to create a foundation model for image segmentation that i