# WangLibo1995/GeoSeg

<https://repo.masters-masters.com/en/repos/WangLibo1995/GeoSeg>

[Home](https://repo.masters-masters.com/en) › [WangLibo1995](https://repo.masters-masters.com/en/owners/WangLibo1995) › [GeoSeg](https://repo.masters-masters.com/en/repos/WangLibo1995/GeoSeg)

WangLibo1995/GeoSeg has 1,120 stars on GitHub. Its RepoMasters card: Beta tier. UNetFormer: A UNet-like transformer for efficient semantic segmentation of…

| Field | Value |
| --- | --- |
| Owner | [WangLibo1995](https://repo.masters-masters.com/en/owners/WangLibo1995) |
| Stars | 1,120 |
| Forks | 154 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2021 |
| Topics | pytorch-lightning, remote-sensing-image, vision-transformer, deep-learning, pytorch, timm, cnn, segmentation, semantic-segmentation |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [WangLibo1995/GeoSeg](https://github.com/WangLibo1995/GeoSeg) |

## Repository

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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