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This repository provides an implementation of semantic segmentation for road networks using PyTorch and the U-Net architecture. It focuses specifically on processing aerial images from the Massachusetts dataset.

License: MIT License

Python 30.45% Jupyter Notebook 69.55%
aerial-imagery building-detection image-segmentation pytorch roadnetworks u-net-pytorch

aerialseg's Introduction

Muhammed Abdelaal, MSc

๐Ÿ›ฐ๏ธVisiting Remote Sensing Scientist at EUMETSAT | Hosted by TU WIEN, Austria

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Python OpenCV Numpy TensorFlow PyTorch Ubuntu Docker

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