Developed by Meta AI Research, the Segment Anything Model (SAM) is a cutting-edge tool that transforms how we approach image segmentation. Capable of producing high-quality object masks from simple prompts like points or boxes, SAM streamlines the process of identifying and isolating objects within images.
Its training on an extensive dataset of 11 million images and over a billion masks equips it with the proficiency to perform zero-shot segmentation across various tasks, eliminating the need for task-specific training.
SAM’s adaptability makes it a powerful tool for professionals engaged in computer vision, image processing, and automated annotation. Its ability to accept diverse prompts and deliver accurate segmentation results enhances productivity and precision in complex image analysis tasks.
By offering SAM as an open-source resource under the Apache 2.0 license, Meta AI promotes widespread adoption and collaborative advancement in the field of AI-driven image segmentation.
