RRepoGEO

REPOGEO REPORT · LITE

rbgirshick/voc-dpm

Default branch master · commit c0b88564 · scanned 6/5/2026, 4:37:46 AM

GitHub: 577 stars · 303 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to improve discoverability

    Why:

    COPY-PASTE FIX
    object-detection, deformable-part-models, dpm, latent-svm, computer-vision, matlab, research, pascal-voc
  • mediumreadme#2
    Reposition the README's core purpose statement

    Why:

    CURRENT
    Information
    Welcome to voc-release5!
    
    This is the companion code-release for my Ph.D. dissertation ("Appendix C").
    COPY-PASTE FIX
    This 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#3
    Add a note about the GitHub code's status vs. website tarball

    Why:

    COPY-PASTE FIX
    Please 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.

Recall
0 / 2
0% of queries surface rbgirshick/voc-dpm
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Faster R-CNN
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Faster R-CNN · recommended 2×
  2. Deformable Part Models (DPMs) · recommended 1×
  3. Contextual DPMs · recommended 1×
  4. Cascade DPMs · recommended 1×
  5. Viola-Jones · recommended 1×
  • CATEGORY QUERY
    What are effective techniques for object detection using deformable part models?
    you: not recommended
    AI recommended (in order):
    1. Deformable Part Models (DPMs)
    2. Contextual DPMs
    3. Cascade DPMs
    4. Viola-Jones
    5. Histogram of Oriented Gradients (HOG)
    6. YOLO (You Only Look Once)
    7. SSD (Single Shot MultiBox Detector)
    8. Faster R-CNN

    AI recommended 8 alternatives but never named rbgirshick/voc-dpm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement a robust object detection system with latent SVM training?
    you: not recommended
    AI recommended (in order):
    1. OpenCV (opencv/opencv)
    2. scikit-learn (scikit-learn/scikit-learn)
    3. scikit-image (scikit-image/scikit-image)
    4. DPM (Deformable Part Model) Toolkit
    5. VLFeat (vlfeat/vlfeat)
    6. PyTorch (pytorch/pytorch)
    7. TensorFlow (tensorflow/tensorflow)
    8. YOLO
    9. Faster R-CNN
    10. 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 completeness
    warn

    Suggestion:

  • README presence
    pass

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?
    pass
    AI 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?
    pass
    AI 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?
    pass
    AI 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

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MARKDOWN (README)
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rbgirshick/voc-dpm — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite