SAM

SAM (Segment Anything Model) is an open-source image segmentation model developed by Meta AI. It enables automatic object segmentation by generating high-quality masks from simple prompts such as points, bounding boxes, or masks. SAM is designed for zero-shot generalization, allowing it to segment previously unseen objects without additional training.

Features of SAM:

• Performs zero-shot image segmentation on a wide variety of objects and scenes.
• Supports interactive segmentation using points, bounding boxes, and masks as prompts.
• Built on a Vision Transformer (ViT) architecture for accurate and efficient segmentation.
• Integrates seamlessly with Python, PyTorch, OpenCV, and other computer vision frameworks.

    $ sudo su
    $ cd /opt
$sam --version

Disclaimer: Segment Anything Model (SAM) was developed by Meta AI. Always refer to the official GitHub repository and documentation for the latest installation instructions, model checkpoints, supported features, and updates.