Segment Anything

Segment Anything
Pricing: Free
Type: Research

The Segment Anything Model (SAM) is a new AI model developed by Meta AI. It is a promptable segmentation system that can accurately “cut out” any object in an image with a single click. SAM has zero-shot generalization capabilities, allowing it to segment unfamiliar objects and images without the need for additional training. The model has been trained on millions of images and masks, resulting in a sophisticated and efficient design.

Use Cases

  • ๐Ÿ–ผ๏ธ SAM can be used for a wide range of segmentation tasks without the need for additional training.
  • ๐ŸŽ›๏ธ It can take input prompts from other systems, such as gaze input from AR/VR headsets, to select an object.
  • ๐Ÿ“ฆ Bounding box prompts from an object detector can enable text-to-object segmentation.
  • ๐ŸŒ The output masks generated by SAM can be used as inputs to other AI systems, allowing for various applications such as object tracking in videos, image editing, 3D modeling, and creative tasks like collaging.


  • ๐ŸŽฏ SAM can accurately segment any object in an image with a single click, thanks to its promptable design.
  • ๐ŸŽฎ Prompting SAM with interactive points and boxes allows for precise and intuitive segmentation.
  • ๐Ÿ“ท SAM can automatically segment everything in an image, saving time and effort.
  • ๐Ÿ’ก It can generate multiple valid masks for ambiguous prompts, providing flexibility in segmentation tasks.
  • ๐Ÿ”„ SAM’s promptable design enables easy integration with other systems, expanding its capabilities.
  • ๐ŸŒ It has zero-shot generalization abilities, allowing it to segment unfamiliar objects and images without additional training.
  • โš™๏ธ SAM’s efficient model design, consisting of a one-time image encoder and a lightweight mask decoder, enables fast inference and data processing.

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