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Update docs metadata (#3781)

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Glenn Jocher 2023-07-17 12:40:04 +02:00 • committed by GitHub
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docs/models/mobile-sam.md
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---
comments: true
description: MobileSAM is a lightweight adaptation of the Segment Anything Model (SAM) designed for mobile applications. It maintains the full functionality of the original SAM while significantly improving speed, making it suitable for CPU-only edge devices, such as mobile phones.
keywords: MobileSAM, Faster Segment Anything, Segment Anything, Segment Anything Model, SAM, Meta SAM, image segmentation, promptable segmentation, zero-shot performance, SA-1B dataset, advanced architecture, auto-annotation, Ultralytics, pre-trained models, SAM base, SAM large, instance segmentation, computer vision, AI, artificial intelligence, machine learning, data annotation, segmentation masks, detection model, YOLO detection model, bibtex, Meta AI
description: Learn more about MobileSAM, its implementation, comparison with the original SAM, and how to download and test it in the Ultralytics framework. Improve your mobile applications today.
keywords: MobileSAM, Ultralytics, SAM, mobile applications, Arxiv, GPU, API, image encoder, mask decoder, model download, testing method
---
![MobileSAM Logo](https://github.com/ChaoningZhang/MobileSAM/blob/master/assets/logo2.png?raw=true)
@ -96,4 +96,4 @@ If you find MobileSAM useful in your research or development work, please consid
journal={arXiv preprint arXiv:2306.14289},
year={2023}
}
```
```