REPOGEO REPORT · LITE
rbgirshick/rcnn
Default branch master · commit 43b0334e · scanned 6/20/2026, 11:51:43 PM
GitHub: 2,414 stars · 975 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface rbgirshick/rcnn, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add specific topics to improve categorization
Why:
COPY-PASTE FIXobject-detection, computer-vision, deep-learning, cnn, r-cnn, historical-artifact, foundational-model, cvpr-2014
- highabout#2Enhance repository description to highlight historical and foundational role
Why:
CURRENTR-CNN: Regions with Convolutional Neural Network Features
COPY-PASTE FIXR-CNN: The foundational deep learning model for object detection, pioneering the use of CNN features with region proposals. A historical artifact from CVPR 2014.
- mediumhomepage#3Add a homepage URL pointing to the primary paper
Why:
COPY-PASTE FIXhttps://arxiv.org/abs/1311.2524
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Mask R-CNN · recommended 2×
- Faster R-CNN · recommended 2×
- YOLO · recommended 1×
- SSD · recommended 1×
- RetinaNet · recommended 1×
- CATEGORY QUERYWhat are the foundational deep learning models for accurate object detection in images?you: not recommendedAI recommended (in order):
- YOLO
- Mask R-CNN
- Faster R-CNN
- SSD
- RetinaNet
- EfficientDet
AI recommended 6 alternatives but never named rbgirshick/rcnn. This is the gap to close.
Show full AI answer
- CATEGORY QUERYExplain the evolution of region-based convolutional neural networks for object recognition.you: not recommendedAI recommended (in order):
- R-CNN
- AlexNet
- Fast R-CNN
- Faster R-CNN
- Mask R-CNN
- Cascade R-CNN
- Libra R-CNN
AI recommended 7 alternatives but never named rbgirshick/rcnn. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of rbgirshick/rcnn?passAI 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?passAI 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?passAI named rbgirshick/rcnn explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of rbgirshick/rcnn. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/rbgirshick/rcnn)<a href="https://repogeo.com/en/r/rbgirshick/rcnn"><img src="https://repogeo.com/badge/rbgirshick/rcnn.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
rbgirshick/rcnn — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite