WangLibo1995/GeoSeg
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. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1779
- days_rel: n/a
- days_push: 744
- n_releases_24m: 0
Adoption not part of the score
1096 stars · 153 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
GeoSeg is an open-source PyTorch-based semantic segmentation toolbox focused on Vision Transformers for remote sensing imagery, featuring the UNetFormer model. It supports training and inference on satellite, aerial, and UAV datasets like ISPRS Potsdam/Vaihingen, LoveDA, and UAVid.
Use cases
- segment satellite images into land cover classes
- train UNetFormer on ISPRS Potsdam dataset
- semantic segmentation of UAV aerial imagery
- run inference on huge remote sensing images
- benchmark vision transformer segmentation models
- segment urban scenes from aerial photos
When to choose
- you need state-of-the-art semantic segmentation for remote sensing or UAV imagery
- you want pretrained vision transformer backbones for aerial image segmentation
- you need multi-GPU training with PyTorch Lightning for segmentation benchmarks
When to avoid
- you need general-purpose natural image segmentation rather than remote sensing
- you require a non-GPL license for commercial products
- you want a plug-and-play tool without writing training configs
Facets
library · maturity active
machine-learning deep-learning image-processing computer-vision deep-learning computer-vision image-processing python semantic-segmentation remote-sensing vision-transformer pytorch-lightning unetformer uav-imagery satellite-imagery gpu
1 source
- readme: https://github.com/WangLibo1995/GeoSeg · fetched 2026-08-28 · 2300bc6a7946
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| WangLibo1995/GeoSeg | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="WangLibo1995/GeoSeg")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem