Segment Anything Introducción

Segment Anything (SAM) is a groundbreaking computer vision model designed to perform complex image segmentation tasks with unprecedented precision and versatility. SAM leverages a large dataset of over 1 billion masks on 11 million licensed and privacy-respecting images, enabling it to learn diverse patterns and features for accurate segmentation. This model can identify the precise location of specific objects in an image or every object in an image, making it a powerful tool for various computer vision applications.