Add to Favourites
To login click here
The Segment Anything project is a new task, dataset, and model for image segmentation, which aims to reduce the need for task-specific modeling expertise, training compute, and custom data annotation for image segmentation. The project includes the Segment Anything Model (SAM) and the Segment Anything 1-Billion mask dataset (SA-1B), the largest ever segmentation dataset. SAM has learned a general notion of what objects are, and it can generate masks for any object in any image or any video, even including objects that it has never seen before.