# levindabhi/cloth-segmentation

<https://repo.masters-masters.com/en/repos/levindabhi/cloth-segmentation>

[Home](https://repo.masters-masters.com/en) › [levindabhi](https://repo.masters-masters.com/en/owners/levindabhi) › [cloth-segmentation](https://repo.masters-masters.com/en/repos/levindabhi/cloth-segmentation)

levindabhi/cloth-segmentation has 672 stars on GitHub. Its RepoMasters card: Alpha tier. This repo contains code and a pre-trained model for clothes…

| Field | Value |
| --- | --- |
| Owner | [levindabhi](https://repo.masters-masters.com/en/owners/levindabhi) |
| Stars | 672 |
| Forks | 115 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | image-segmentation, deep-learning, cloth-segmentation, image-parsing, fashion, pytorch, clothing-parsing, u2net |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [levindabhi/cloth-segmentation](https://github.com/levindabhi/cloth-segmentation) |

## Repository

This repo contains code and a pre-trained model for clothes segmentation.

Archived: this repository is read-only

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

## Nearby in Python

- [weebzone/Telegram-Stremio · ★ 672 · Python · Alpha](https://repo.masters-masters.com/en/repos/weebzone/Telegram-Stremio)
- [Spirit-AI-Team/spirit-v1.5 · ★ 672 · Python · Alpha](https://repo.masters-masters.com/en/repos/Spirit-AI-Team/spirit-v1.5)
- [NickTikhonov/shuo · ★ 672 · Python · Alpha](https://repo.masters-masters.com/en/repos/NickTikhonov/shuo)
- [richardbarran/django-photologue · ★ 672 · Python · Alpha](https://repo.masters-masters.com/en/repos/richardbarran/django-photologue)
- [clinton-hall/nzbToMedia · ★ 672 · Python · Alpha](https://repo.masters-masters.com/en/repos/clinton-hall/nzbToMedia)
- [FZambia/centrifuge · ★ 672 · Python · Alpha](https://repo.masters-masters.com/en/repos/FZambia/centrifuge)

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