# facebookresearch/ov-seg

<https://repo.masters-masters.com/en/repos/facebookresearch/ov-seg>

[Home](https://repo.masters-masters.com/en) › [facebookresearch](https://repo.masters-masters.com/en/owners/facebookresearch) › [ov-seg](https://repo.masters-masters.com/en/repos/facebookresearch/ov-seg)

facebookresearch/ov-seg has 758 stars on GitHub. Its RepoMasters card: Beta tier. This is the official PyTorch implementation of the paper Open-Vocabulary…

| Field | Value |
| --- | --- |
| Owner | [facebookresearch](https://repo.masters-masters.com/en/owners/facebookresearch) |
| Stars | 758 |
| Forks | 64 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2022 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [facebookresearch/ov-seg](https://github.com/facebookresearch/ov-seg) |

## Repository

This is the official PyTorch implementation of the paper Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP.

Archived: this repository is read-only

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.