SAM (Segment Anything Model) is an open-source AI model developed by Meta AI for universal image segmentation. It can automatically detect and segment objects in images with minimal input, such as points, bounding boxes, or text prompts. SAM leverages advanced Vision Transformer (ViT) architectures to generate accurate segmentation masks and generalizes across diverse visual domains without requiring task-specific training.

Features of SAM:

Performs zero-shot object segmentation across a wide range of images.
Supports interactive prompts like points, boxes, or text to refine segmentation masks.
Uses a Vision Transformer backbone for high accuracy and generalization.
Compatible with Python and integrates with popular computer vision workflows.
Widely used in AI research, medical imaging, photo editing, autonomous systems, and more.
Open-source and maintained by Meta AI with community support.

To check the installed version of SAM, run these commands in your environment:


$ source /opt/sam_env/bin/activate
$ pip show segment-anything

Disclaimer: SAM was developed by Meta AI. Always refer to the official GitHub repository or documentation for the most accurate and up-to-date information, including model checkpoints and usage guidelines.

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SAM

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SAM

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SAM
bCloud LLC