# open-mmlab/OpenUnReID

<https://repo.masters-masters.com/en/repos/open-mmlab/OpenUnReID>

[Home](https://repo.masters-masters.com/en) › [open-mmlab](https://repo.masters-masters.com/en/owners/open-mmlab) › [OpenUnReID](https://repo.masters-masters.com/en/repos/open-mmlab/OpenUnReID)

open-mmlab/OpenUnReID has 411 stars on GitHub. Its RepoMasters card: Alpha tier. PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

| Field | Value |
| --- | --- |
| Owner | [open-mmlab](https://repo.masters-masters.com/en/owners/open-mmlab) |
| Stars | 411 |
| Forks | 67 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Topics | unsupervised-learning, unsupervised-domain-adaptation, re-identification, image-retrieval, open-set-domain-adaptation, pseudo-labeling, domain-translation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [open-mmlab/OpenUnReID](https://github.com/open-mmlab/OpenUnReID) |

## Repository

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.