AronBakes/Semantic-Segmentation-of-Aerial-Imagery

Semantic Segmentation of Aerial Imagery - Multi-modal deep learning models (U-net, SegFormer, logistic regression + CRF) trained on RGB and elevation data for aerial scene understanding.

15
/ 100
Experimental

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

8

Forks

—

Language

Jupyter Notebook

License

MIT

Category

satellite-building-segmentation

Last pushed

Aug 06, 2025

Commits (30d)

0

GitHub
Satellite Building Segmentation · 66 frameworks

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/AronBakes/Semantic-Segmentation-of-Aerial-Imagery"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

WHU-Sigma/HyperSIGMA

The official repo for [TPAMI'25] "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

50

manideep2510/eye-in-the-sky

Satellite Image Classification using semantic segmentation methods in deep learning

49

rogerxujiang/dstl_unet

Dstl Satellite Imagery Feature Detection

48

motokimura/spacenet_building_detection

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite...

48

Paulymorphous/skeyenet

Road and Building Segmentation in Satellite Imagery

47

Explore ML Frameworks

All categories Trending ML Framework directory Insights