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Segment Anything Model and Dataset (SAM and SA-1B): Difference between revisions
Segment Anything Model and Dataset (SAM and SA-1B) (view source)
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==Introduction== | ==Introduction== | ||
[[File:segment anything model demo2.png|400px|right]] | |||
===Model Introduction=== | ===Model Introduction=== | ||
'''Segment Anything Model (SAM)''' is an [[artificial intelligence model]] developed by [[Meta AI]]. This model allows users to effortlessly "cut out" any object within an image using a single click. It is a [[prompt]]able [[segmentation system]] that can generalize to unfamiliar objects and images without additional training. | '''Segment Anything Model (SAM)''' is an [[artificial intelligence model]] developed by [[Meta AI]]. This model allows users to effortlessly "cut out" any object within an image using a single click. It is a [[prompt]]able [[segmentation system]] that can generalize to unfamiliar objects and images without additional training. | ||
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==Segmentation Anything Model (SAM) Structure and Implementation== | ==Segmentation Anything Model (SAM) Structure and Implementation== | ||
[[File:segment anything model1.png|400px|right]] | |||
SAM's structure consists of three components: | SAM's structure consists of three components: | ||
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==Segmentation Anything Model (SAM) Overview== | ==Segmentation Anything Model (SAM) Overview== | ||
[[File:segment anything model demo1.png|400px|right]] | |||
===Input Prompts=== | ===Input Prompts=== | ||
SAM utilizes a variety of [[input prompt]]s to determine which object to segment in an image. These prompts enable the model to execute a wide range of segmentation tasks without further training. SAM can be prompted using interactive points and boxes, automatically segment all objects within an image, or generate multiple valid masks when given ambiguous prompts. | SAM utilizes a variety of [[input prompt]]s to determine which object to segment in an image. These prompts enable the model to execute a wide range of segmentation tasks without further training. SAM can be prompted using interactive points and boxes, automatically segment all objects within an image, or generate multiple valid masks when given ambiguous prompts. | ||