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I’d like to know if it’s possible to use SAM v2 (or other segmentation models) in the following way:
Provide an image and its segmentation (e.g., a point or polygon) as a prompt.
Use that segmentation to guide the model to find and segment similar objects in another target image.
The goal is to maintain consistent labeling across images—for example, if I label a few buildings in one image, I’d like the model to segment all buildings in another image with the same target value.
Questions:
Is this possible to achieve directly with SAM v2?
If not, what’s the best approach (or model pipeline) to accomplish this kind of class-consistent segmentation across images?
Thanks in advance for any guidance!
PS: @giswqs thank you so much for the great work that you have done and the efforts into this package.
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I’d like to know if it’s possible to use SAM v2 (or other segmentation models) in the following way:
The goal is to maintain consistent labeling across images—for example, if I label a few buildings in one image, I’d like the model to segment all buildings in another image with the same target value.
Questions:
Thanks in advance for any guidance!
PS: @giswqs thank you so much for the great work that you have done and the efforts into this package.
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