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README.md
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# Segment-Anything-Model: Optimized for Mobile Deployment
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## High-quality segmentation mask generation around any object in an image with simple input prompt
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Transformer based encoder-decoder where prompts specify what to segment in an image thereby allowing segmentation without the need for additional training. The image encoder generates embeddings and the lightweight decoder operates on the embeddings for point and mask based image segmentation.
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This model is an implementation of
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This repository provides scripts to run Segment-Anything-Model on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/sam).
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# Segment-Anything-Model: Optimized for Mobile Deployment
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## High-quality segmentation mask generation around any object in an image with simple input prompt
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Transformer based encoder-decoder where prompts specify what to segment in an image thereby allowing segmentation without the need for additional training. The image encoder generates embeddings and the lightweight decoder operates on the embeddings for point and mask based image segmentation.
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This model is an implementation of Posenet-Mobilenet found [here](https://github.com/facebookresearch/segment-anything).
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This repository provides scripts to run Segment-Anything-Model on Qualcomm® devices.
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More details on model performance across various devices, can be found
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[here](https://aihub.qualcomm.com/models/sam).
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