rbgirshick/fast-rcnn

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3460 stars · 1562 forks observed · 2026-08-28

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

Fast R-CNN is Ross Girshick's ICCV 2015 framework for fast object detection with deep convolutional networks, written in Python and C++/Caffe. It is explicitly deprecated and unmaintained, kept only as a historical artifact with pointers to Detectron and py-faster-rcnn.

Use cases

• train object detection models on PASCAL VOC
• reproduce Fast R-CNN paper results
• run object detection demo with VGG16
• study historical region-based CNN detection code
• compare Fast R-CNN against R-CNN and SPPnet baselines

When to choose

• you need to reproduce or verify the original ICCV 2015 Fast R-CNN paper
• you are studying the evolution of region-based object detectors
• you need the exact historical codebase for research citation or comparison

When to avoid

• you want a maintained object detection framework
• you need modern detectors like Faster R-CNN or Mask R-CNN
• you are starting a new object detection project
• you cannot build legacy Caffe with Python layers

Facets

library · maturity abandoned

deep-learning computer-vision machine-learning computer-vision deep-learning machine-learning python object-detection rcnn caffe iccv-2015 deprecated historical linux gpu

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