open-mmlab/mmsegmentation
OpenMMLab semantic segmentation toolbox and benchmark built on PyTorch.
Not currently ranked — collecting fresh signals.
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This repository provides a comprehensive semantic segmentation framework including state-of-the-art model implementations, training utilities, and evaluation benchmarks. It supports popular architectures such as DeepLabV3, PSPNet, and Swin Transformer-based models. The toolbox is designed for both general image segmentation and domain-specific applications including medical imaging and retinal vessel analysis.
Frequently asked
- What is open-mmlab/mmsegmentation?
- OpenMMLab semantic segmentation toolbox and benchmark built on PyTorch.
- Is mmsegmentation open source?
- Yes — open-mmlab/mmsegmentation is open source, released under the Apache-2.0 license.
- What language is mmsegmentation written in?
- open-mmlab/mmsegmentation is primarily written in Python.
- How popular is mmsegmentation?
- open-mmlab/mmsegmentation has 9.9k stars on GitHub.
- Where can I find mmsegmentation?
- open-mmlab/mmsegmentation is on GitHub at https://github.com/open-mmlab/mmsegmentation.