Models

What is Segment Anything Model (SAM)?

Segment Anything (SAM) is an image segmentation model developed by Meta Research, capable of doing zero-shot segmentation.

About the model

Here is an overview of the

Segment Anything Model (SAM)

model:

Date of Release Apr 05, 2023
Model Type Instance Segmentation
Architecture
Framework Used
Annotation Format
Stars on GitHub 24000+

Segment Anything, released in April 2023 by Meta Research, is an image segmentation computer vision model trained using a new dataset. The model itself is called Segment Anything Model (SAM). Using SAM, you can generate segmentation masks for all of the objects in an image that the model can find, or masks for objects that meet a provided text prompt.

The dataset on which SAM was trained contains over one billion image masks and 11 million images.

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Model Performance

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Segment Anything Model (SAM) Annotation Format

Segment Anything Model (SAM)

uses the

annotation format. If your annotation is in a different format, you can use Roboflow's annotation conversion tools to get your data into the right format.

Convert data between formats

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