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cbx1
/
sam-vit-h
The Segment Anything Model (SAM) is a powerful and versatile image segmentation model. It leverages a "foundation model" approach, meaning it can be used for various segmentation tasks without needing to be specifically trained for each one.
- Public
- 279 runs
- GitHub
Input
Output
Run time and cost
This model costs approximately $0.0016 to run on Replicate, or 625 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia T4 GPU hardware. Predictions typically complete within 8 seconds. The predict time for this model varies significantly based on the inputs.