Segment Anything (SAM) is an image segmentation model developed by Meta Research, capable of doing zero-shot segmentation.
Here is an overview of the
model:
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.
YOLOv8 is here, setting a new standard for performance in object detection and image segmentation tasks. Roboflow has developed a library of resources to help you get started with YOLOv8, covering guides on how to train YOLOv8, how the model stacks up against v5 and v7, and more.
YOLOv8 is here, setting a new standard for performance in object detection and image segmentation tasks. Roboflow has developed a library of resources to help you get started with YOLOv8, covering guides on how to train YOLOv8, how the model stacks up against v5 and v7, and more.
YOLOv8 is here, setting a new standard for performance in object detection and image segmentation tasks. Roboflow has developed a library of resources to help you get started with YOLOv8, covering guides on how to train YOLOv8, how the model stacks up against v5 and v7, and more.
YOLOv8 is here, setting a new standard for performance in object detection and image segmentation tasks. Roboflow has developed a library of resources to help you get started with YOLOv8, covering guides on how to train YOLOv8, how the model stacks up against v5 and v7, and more.
Roboflow offers a range of SDKs with which you can deploy your model to production.
Segment Anything Model (SAM)
uses the
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.
You can automatically label a dataset using
Segment Anything Model (SAM)
with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use
Segment Anything Model (SAM)
to train a computer vision model.
Curious about how this model compares to others? Check out our model comparisons.
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