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Language Segment-Anything is an open-source project that combines the power of instance segmentation and text prompts to generate masks for specific objects in images.
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samlang is a statically-typed functional programming language designed and implemented by Sam Zhou. The language is still under development so the syntax and semantics may be changed at any time. The language can be compiled down to WebAssembly with reference counting based garbage collection.
May 24, 2023 · The integration of text prompts with the SAM enables the model to perform highly specific and context-aware object segmentation. By leveraging natural language prompts, SAM can be guided to segment objects of interest based on their semantic properties, attributes, or relationships to other objects within the scene.
Segment Anything Model (SAM): a new AI model from Meta AI that can "cut out" any object, in any image, with a single click. SAM is a promptable segmentation system with zero-shot generalization to unfamiliar objects and images, without the need for additional training. Try the demo. The research. SAM uses a variety of input prompts.
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Sam Lang is a consultant at E3, a firm that provides analysis and advice on energy and environmental issues. She works on projects related to the future of gas, energy policy, and carbon pricing, and has a master's degree in environmental science and policy from Columbia University.