facebookresearch/Detectron

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

26358 stars · 5378 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Facebook AI Research's Python software system implementing state-of-the-art object detection algorithms such as Mask R-CNN, RetinaNet, and Faster R-CNN, built on the Caffe2 deep learning framework. It is now deprecated in favor of its PyTorch rewrite, detectron2.

Use cases

• run object detection on images
• train a Mask R-CNN instance segmentation model
• reproduce research baselines like RetinaNet or Faster R-CNN
• experiment with novel object detection architectures
• get pretrained detection models from a model zoo

When to choose

• you need to reproduce legacy FAIR research results from 2017-2018 papers
• you must work within a Caffe2-based pipeline
• you are studying the original Detectron codebase for academic purposes

When to avoid

• you are starting a new project - use detectron2 instead
• you need maintained software with active support
• you cannot install the deprecated Caffe2 framework
• you need production-ready detection rather than a research codebase

Facets

library · maturity abandoned

machine-learning deep-learning computer-vision image-processing computer-vision machine-learning deep-learning python object-detection instance-segmentation mask-r-cnn retinanet caffe2 deprecated computer-vision-research research linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="facebookresearch/Detectron")