Image Segmentation

This repo was created for academic research and test result. Repo will update after academic article online.

This repo contains weights of Unet++ model with SE-ResNeXt101 encoder trained with our private Istanbul dataset and Inria and Massachusetts datasets seperately. Trainings have been realized using PyTorch and segmentation models library. We also provide an inference notebook to run prediction on GeoTiff images. This notebook also outputs prediction images as GeoTiff.

Weights Files

You can use the following links to download weights files:

Unet++ trained with Istanbul Dataset: Download
Unet++ trained with Inria Dataset: Download
Unet++ trained with Massachusetts Dataset: Download
Unet++ with InceptionResNetv2 encoder: Download
Unet++ with EfficientNet-b6 encoder: Download
UNet with SE-ResNeXt101 encoder: Download
UNet with InceptionResNetv2 encoder: Download
UNet with EfficientNet-b6 encoder: Download
DeepLabv3+ with SE-ResNeXt101 encoder:Download

Stack and Requirements

To run the notebook, following libraries are required:

torch == 1.7.1
segmentation-models-pytorch == 0.1.3
scikit-image = 0.18.1
GDAL == 3.2.1
tifffile == 2021.2.1

Image segmentation with private İstanbul Dataset

Related tags

Overview

Image Segmentation

Weights Files

Stack and Requirements

Owner

İrem KÖMÜRCÜ

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