# Minerva-J/Pytorch-Segmentation-multi-models

<https://repo.masters-masters.com/en/repos/Minerva-J/Pytorch-Segmentation-multi-models>

[Home](https://repo.masters-masters.com/en) › [Minerva-J](https://repo.masters-masters.com/en/owners/Minerva-J) › [Pytorch-Segmentation-multi-models](https://repo.masters-masters.com/en/repos/Minerva-J/Pytorch-Segmentation-multi-models)

Minerva-J/Pytorch-Segmentation-multi-models has 207 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch implementation for Semantic Segmentation…

| Field | Value |
| --- | --- |
| Owner | [Minerva-J](https://repo.masters-masters.com/en/owners/Minerva-J) |
| Stars | 207 |
| Forks | 47 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Minerva-J/Pytorch-Segmentation-multi-models](https://github.com/Minerva-J/Pytorch-Segmentation-multi-models) |

## Repository

Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3\_plus, PSPNet, UNet, UNet\_AutoEncoder, UNet\_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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