# SHI-Labs/Matting-Anything

<https://repo.masters-masters.com/en/repos/SHI-Labs/Matting-Anything>

[Home](https://repo.masters-masters.com/en) › [SHI-Labs](https://repo.masters-masters.com/en/owners/SHI-Labs) › [Matting-Anything](https://repo.masters-masters.com/en/repos/SHI-Labs/Matting-Anything)

SHI-Labs/Matting-Anything has 720 stars on GitHub. Its RepoMasters card: Beta tier. Matting Anything Model (MAM), an efficient and versatile framework for…

| Field | Value |
| --- | --- |
| Owner | [SHI-Labs](https://repo.masters-masters.com/en/owners/SHI-Labs) |
| Stars | 720 |
| Forks | 51 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [SHI-Labs/Matting-Anything](https://github.com/SHI-Labs/Matting-Anything) |

## Repository

Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.