rbgirshick/rcnn

• highreadme#1

  Emphasize R-CNN's foundational role in the README introduction

  Why:

  CURRENT

  ### This code base is no longer maintained and exists as a historical artifact to supplement our CVPR and PAMI papers on Region-based Convolutional Neural Netwoks. For more recent work that's faster and more accurrate, please see Fast and Faster R-CNN.

  COPY-PASTE FIX

  Copy

  ### This code base is a foundational implementation of Region-based Convolutional Neural Networks (R-CNN), a landmark deep learning approach for object detection. It is no longer maintained and exists as a historical artifact to supplement our CVPR and PAMI papers. For more recent, faster, and more accurate work, please see Fast and Faster R-CNN.

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• mediumhomepage#2

  Add a homepage link to the original research paper

  Why:

  COPY-PASTE FIX

  Copy

  https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Girshick_Rich_Feature_Hierarchies_2014_CVPR_paper.pdf

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  What are classic deep learning approaches for object detection in images?

  you: not recommended
  AI recommended (in order):

  1. YOLO
  2. YOLOv3
  3. YOLOv4
  4. YOLOv5
  5. YOLOv7
  6. YOLOv8
  7. Faster R-CNN
  8. R-CNN
  9. Fast R-CNN
  10. SSD
  11. RetinaNet
  12. Mask R-CNN

  AI recommended 12 alternatives but never named rbgirshick/rcnn. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Which region-proposal based neural network architectures are best for visual object recognition?

  you: not recommended
  AI recommended (in order):

  1. Cascade R-CNN
  2. Faster R-CNN
  3. Mask R-CNN
  4. Libra R-CNN
  5. Feature Pyramid Network (FPN)
  6. R-CNN (Regions with Convolutional Neural Networks)

  AI recommended 6 alternatives but never named rbgirshick/rcnn. This is the gap to close.

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• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of rbgirshick/rcnn?

  pass
  ✓AI named rbgirshick/rcnn explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts rbgirshick/rcnn in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named rbgirshick/rcnn explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo rbgirshick/rcnn solve, and who is the primary audience?

  pass
  ✓AI named rbgirshick/rcnn explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?