What is Segment Anything?

**Segment Anything Model (SAM)** by Meta AI is a groundbreaking AI tool that lets you "cut out" any object in any image with just a single click. It’s designed to work with a variety of input prompts, making it incredibly versatile for image segmentation tasks without needing additional training.

What are the features of Segment Anything?

* **Promptable Segmentation**: Use points, boxes, or even text to specify what to segment in an image. * **Zero-Shot Generalization**: Works on unfamiliar objects and images without extra training. * **Efficient Design**: Runs in a web browser in just a few milliseconds per prompt. * **Extensible Outputs**: Masks can be used for video tracking, 3D modeling, and creative tasks like collaging.

What are the use cases of Segment Anything?

* **Image Editing**: Easily remove or isolate objects in photos. * **AR/VR Integration**: Future applications could include object selection based on user gaze in AR/VR headsets. * **Creative Projects**: Use segmented objects for collages or other artistic endeavors.

How to use Segment Anything?

1. **Select an Image**: Upload or choose an image you want to work with. 2. **Add Prompts**: Use points, boxes, or text to specify the object you want to segment. 3. **Get Results**: SAM will generate the mask for the selected object instantly.

What type of prompts are supported?

Foreground/background points, bounding boxes, and masks. Text prompts are explored but not yet released.

What is the structure of the model?

It includes a ViT-H image encoder, a prompt encoder, and a lightweight transformer-based mask decoder.

What platforms does the model use?

The image encoder requires a GPU, while the prompt encoder and mask decoder can run on CPU or GPU across platforms supporting ONNX runtime.

How big is the model?

The image encoder has 632M parameters, and the prompt encoder and mask decoder have 4M parameters.

How long does inference take?

The image encoder takes ~0.15 seconds on an NVIDIA A100 GPU, and the prompt encoder and mask decoder take ~50ms on CPU in the browser.

What data was the model trained on?

It was trained on the SA-1B dataset, which includes over 1.1 billion segmentation masks on ~11 million images.

Does the model work on videos?

Currently, it only supports images or individual frames from videos.

Segment Anything

5.0

15.48%

SAM by Meta AI is a powerful, promptable image segmentation tool that works with zero-shot generalization, making it ideal for a wide range of creative and technical applications.

Added on: 2025.03.02

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#AI Image Segmentation #Prompt Generators #Research #AI Image Recognition #Large Language Models (LLMs)

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