Speech, vision & media
MMSegmentation
A shared experimental and deployment foundation dedicated to semantic segmentation.
Overview
Research summary
MMSegmentation focuses on assigning semantic labels to image pixels through a common training and evaluation framework. It provides segmentation model implementations, dataset integrations, configuration files and a model zoo built on OpenMMLab's infrastructure. Developers can start from a published configuration, adapt data and class definitions, and use the same toolkit for inference and evaluation.
This makes it useful for comparing segmentation methods and developing task-specific visual perception systems. Its scope is distinct from object detection even though the projects share infrastructure. Source code is Apache-2.0, with separate terms for datasets and checkpoints.
Repository summary
- Stars
- 9,966
- Open issues
- Unavailable
- Last push
- 2024-08-13
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for MMSegmentation.
Implementation details
Python/PyTorch toolbox using OpenMMLab infrastructure
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 9,966
- Open issues
- Unavailable
- Last push
- 2024-08-13
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 4
- https://mmsegmentation.readthedocs.io/en/main/ Project page · Documentation
- https://github.com/open-mmlab/mmsegmentation Linked repository · Research reference
- https://github.com/open-mmlab/mmsegmentation/blob/main/README.md Research reference
- https://github.com/open-mmlab/mmsegmentation/blob/main/LICENSE Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06