ShaoqingRen/faster_rcnn

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2835 stars · 1216 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A MATLAB re-implementation of Faster R-CNN, a deep-learning object detection framework combining a Region Proposal Network with a detection network that shares convolutional features. It is the original reference code accompanying the 2015 paper, built on a bundled Caffe, and is now deprecated in favor of Detectron.

Use cases

• train an object detection model on Pascal VOC
• run real-time object detection with region proposal networks
• reproduce Faster R-CNN paper results
• study the original Faster R-CNN MATLAB implementation
• detect objects in images using VGG-16 or ZF networks

When to choose

• you need the original reference implementation for research reproduction
• you must work in MATLAB with the bundled Caffe build
• you want to study how RPN and detection networks share convolutional layers

When to avoid

• you want actively maintained object detection tooling - use Detectron or Detectron2 instead
• you prefer Python - use py-faster-rcnn or modern PyTorch detection libraries
• you need recent CUDA/GPU hardware support or modern MATLAB versions

Facets

library · maturity abandoned

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning windows object-detection faster-r-cnn region-proposal-network caffe deprecated research-code pascal-voc linux matlab gpu

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markdown · JSON · MCP: product_card(name="ShaoqingRen/faster_rcnn")