Idea-research

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Average Model Cost: $0.0115

Number of Runs: 32,375

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ram-grounded-sam

ram-grounded-sam

idea-research

The RAM-Grounded-SAM is a strong image tagging model that can accurately label and segment objects within an image. It uses a combination of region attention module (RAM) and self-attention module (SAM) to achieve this. The RAM helps identify regions of interest by attending to important parts of the image, while the SAM enables the model to capture the relationships between different regions. This model is highly effective in accurately tagging and segmenting various objects within an image.

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$0.011/run

32.4K

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