REPOGEO REPORT · LITE
rbgirshick/voc-dpm
Default branch master · commit c0b88564 · scanned 6/5/2026, 4:37:46 AM
GitHub: 577 stars · 303 forks
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/voc-dpm, 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 relevant topics to improve discoverability
Why:
COPY-PASTE FIXobject-detection, deformable-part-models, dpm, latent-svm, computer-vision, matlab, research, pascal-voc
- mediumreadme#2Reposition the README's core purpose statement
Why:
CURRENTInformation Welcome to voc-release5! This is the companion code-release for my Ph.D. dissertation ("Appendix C").COPY-PASTE FIXThis repository contains `voc-release5`, an implementation of a classic object detection system based on **Deformable Part Models (DPMs)** and **latent Support Vector Machines (SVMs)**. It was developed as companion code for a Ph.D. dissertation and supports datasets like PASCAL VOC and INRIA Person.
- lowreadme#3Add a note about the GitHub code's status vs. website tarball
Why:
COPY-PASTE FIXPlease note: For the most thoroughly tested and reproducible results, it is recommended to use the latest tarball available on the project website. This GitHub repository may contain code changes that have not been as rigorously tested and might not reproduce the exact results found on the website.
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.
- Faster R-CNN · recommended 2×
- Deformable Part Models (DPMs) · recommended 1×
- Contextual DPMs · recommended 1×
- Cascade DPMs · recommended 1×
- Viola-Jones · recommended 1×
- CATEGORY QUERYWhat are effective techniques for object detection using deformable part models?you: not recommendedAI recommended (in order):
- Deformable Part Models (DPMs)
- Contextual DPMs
- Cascade DPMs
- Viola-Jones
- Histogram of Oriented Gradients (HOG)
- YOLO (You Only Look Once)
- SSD (Single Shot MultiBox Detector)
- Faster R-CNN
AI recommended 8 alternatives but never named rbgirshick/voc-dpm. This is the gap to close.
Show full AI answer
- CATEGORY QUERYHow can I implement a robust object detection system with latent SVM training?you: not recommendedAI recommended (in order):
- OpenCV (opencv/opencv)
- scikit-learn (scikit-learn/scikit-learn)
- scikit-image (scikit-image/scikit-image)
- DPM (Deformable Part Model) Toolkit
- VLFeat (vlfeat/vlfeat)
- PyTorch (pytorch/pytorch)
- TensorFlow (tensorflow/tensorflow)
- YOLO
- Faster R-CNN
- SSD
AI recommended 10 alternatives but never named rbgirshick/voc-dpm. 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/voc-dpm?passAI named rbgirshick/voc-dpm 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/voc-dpm in production, what risks or prerequisites should they evaluate first?passAI named rbgirshick/voc-dpm 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/voc-dpm solve, and who is the primary audience?passAI named rbgirshick/voc-dpm 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/voc-dpm. 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/voc-dpm)<a href="https://repogeo.com/en/r/rbgirshick/voc-dpm"><img src="https://repogeo.com/badge/rbgirshick/voc-dpm.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
rbgirshick/voc-dpm — 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