# LeeJunHyun/Image\_Segmentation

<https://repo.masters-masters.com/en/repos/LeeJunHyun/Image_Segmentation>

[Home](https://repo.masters-masters.com/en) › [LeeJunHyun](https://repo.masters-masters.com/en/owners/LeeJunHyun) › [Image\_Segmentation](https://repo.masters-masters.com/en/repos/LeeJunHyun/Image_Segmentation)

LeeJunHyun/Image\_Segmentation has 3,103 stars on GitHub. Its RepoMasters card: RC tier. Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and…

| Field | Value |
| --- | --- |
| Owner | [LeeJunHyun](https://repo.masters-masters.com/en/owners/LeeJunHyun) |
| Stars | 3,103 |
| Forks | 633 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [LeeJunHyun/Image\_Segmentation](https://github.com/LeeJunHyun/Image_Segmentation) |

## Repository

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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