Speech, vision & media
Detectron2
A modular vision research platform with reusable detection and segmentation components.
Overview
Research summary
Detectron2 provides implementations and infrastructure for object detection, instance and semantic segmentation, and related visual recognition tasks. It includes reusable model components, training utilities, datasets and examples that can support both research projects and application development. Additional projects build capabilities such as panoptic segmentation, dense pose estimation and specialized detection methods on the same foundation.
Developers configure a task, train or load a model, then use inference and export options appropriate to their deployment. The repository is maintained under the facebookresearch organization and releases its library code under Apache-2.0.
Repository summary
- Stars
- 34,748
- Open issues
- Unavailable
- Last push
- 2026-09-30
- 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 Detectron2.
Implementation details
Python/PyTorch library with native performance components
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 34,748
- Open issues
- Unavailable
- Last push
- 2026-09-30
- 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://detectron2.readthedocs.io/en/latest/ Project page · Documentation
- https://github.com/facebookresearch/detectron2 Linked repository · Research reference
- https://github.com/facebookresearch/detectron2/blob/main/README.md Research reference
- https://github.com/facebookresearch/detectron2/blob/main/LICENSE Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06