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pytorch-semseg
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pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

by meetps · GitHub
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deep-learningfully-convolutional-networkspytorchMITPython
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Run popular image segmentation models to identify different parts of images using PyTorch.

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3 4073 406
2026-07-072026-08-31
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Semantic Segmentation Architectures Implemented in PyTorch

pytorch-semseg has 3.4k stars on GitHub. It has been forked 789 times. pytorch-semseg is written mainly in Python. It has been in active development since 2017. pytorch-semseg is available under the MIT license. Its main topics are deep-learning, fully-convolutional-networks, pytorch, semantic-segmentation.

Frequently asked questions

What is pytorch-semseg?

Semantic Segmentation Architectures Implemented in PyTorch

Is pytorch-semseg open source?

pytorch-semseg is an open-source project. It is released under the MIT license.

Is pytorch-semseg free?

Yes. pytorch-semseg is free and open source — you can use, modify and self-host it.

What license does pytorch-semseg use?

pytorch-semseg is available under the MIT license.

What language is pytorch-semseg written in?

pytorch-semseg is written mainly in Python.

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