A flexible and powerful image segmentation model from Meta AI.

Screenshot of Segment Anything Model (SAM)

About Segment Anything Model (SAM)

The Segment Anything Model (SAM) by Meta AI is a cutting-edge tool for general image segmentation tasks. It is designed to segment objects in images with remarkable precision, regardless of object type. SAM is built with a highly flexible architecture and is capable of performing segmentation across a wide range of images with minimal training. It has applications in medical imaging, autonomous driving, content creation, and more. SAM simplifies complex segmentation workflows, making it accessible to developers, researchers, and businesses.

Agentic

Developer
Meta AI
Added
57 days ago

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AI Agent Categories

Computer Vision

AI agents that specialize in processing and interpreting visual data from the world. These agents can perform image recognition, object detection, facial recognition, video analysis, and other tasks that involve analyzing and understanding visual content.

Autonomous Vehicles

AI agents designed for autonomous vehicles, enabling self-driving cars, trucks, drones, and other transportation systems. These agents manage navigation, decision-making, sensor fusion, and safety protocols to allow vehicles to operate without human intervention.

Motion Capture

AI agents specialized in motion capture technology, enabling the tracking and recording of human movements for use in animation, video games, films, and virtual reality. These agents can convert physical actions into digital data to create realistic animations and interactive experiences.

Healthcare

AI agents designed to improve healthcare services, ranging from diagnosis and patient care to medical research and drug discovery. These agents can assist in analyzing medical data, provide personalized treatment recommendations, monitor patient health, and automate administrative tasks for healthcare professionals.

Science

AI agents focused on advancing scientific research and discoveries across various fields, including biology, physics, chemistry, and environmental science. These agents assist in data analysis, simulation, hypothesis generation, and experimental design, helping researchers accelerate innovation and gain deeper insights.

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