The Segment Anything (Meta) AI introduces the Segment Anything Model (SAM), an AI technology capable of accurately extracting objects from images. SAM is adaptable and can generalize to new images and objects without prior exposure. It employs various input prompts to seamlessly integrate with different AI systems. SAM can also undergo training to enhance its image annotation capabilities and refine its dataset. The SAM model prioritizes efficiency and flexibility to drive its data processing capabilities. The project involves Alexander Kirillov, Eric Mintun, Nikhila Ravi, and numerous other contributors. The project's code is openly accessible on GitHub, and interested users can subscribe to their newsletter for updates on their latest research endeavors.