Detectron2
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Overview
HEALTH SCORE
Fair
64out of 100
Development cadence drags the score down. Security posture and maintainer coverage help keep it from falling further.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair(64/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 2 days.
Bus factor
Only 1 active maintainer currently has merge rights.
Organization Diversity
Contributors span 187 organizations.
Project Achievements
Leaderboards
About
Detectron2 is a computer vision library developed by Facebook AI Research (FAIR) that implements state-of-the-art object detection algorithms. It provides a modular, flexible platform for implementing and training computer vision models, with support for tasks like object detection, instance segmentation, keypoint detection, and panoptic segmentation.
First commit
Software value
$2.3M
License(s)
Apache-2.0
Data sources
Git
GitHub