RRepoGEO

REPOGEO REPORT · LITE

minimaxir/person-blocker

Default branch master · commit 82cc1bab · scanned 6/21/2026, 10:47:53 PM

GitHub: 2,013 stars · 209 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 minimaxir/person-blocker, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README's opening to clarify its unique application and underlying tech

    Why:

    CURRENT
    # Person Blocker

A script to automatically "block" people in images (like the Black Mirror episode White Christmas)) using Mask R-CNN pretrained on the MS COCO dataset. No GPU required!

But you can block more than just people: up to 80 different types of objects can be blocked, including giraffes and busses!
    COPY-PASTE FIX
    # Person Blocker: Censor & Anonymize Objects in Images (Black Mirror Style)

**Person Blocker is a standalone Python tool that automatically censors or anonymizes specific objects in images, inspired by the Black Mirror episode 'White Christmas'.** It leverages a Mask R-CNN model, pretrained on the MS COCO dataset, to detect and obscure up to 80 different object types (not just people!), including giraffes and buses. No GPU is required for basic usage.
  • mediumreadme#2
    Add a section to the README clarifying the project's license

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under the terms specified in the `LICENSE` file. Please refer to that file for full details on usage, distribution, and modification.

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 minimaxir/person-blocker
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenCV
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenCV · recommended 2×
  2. Pillow · recommended 2×
  3. YOLO · recommended 1×
  4. Mask R-CNN · recommended 1×
  5. Google Cloud Vision AI · recommended 1×
  • CATEGORY QUERY
    How to automatically censor or obscure specific objects in images using AI?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. YOLO
    3. Mask R-CNN
    4. Google Cloud Vision AI
    5. Pillow
    6. Amazon Rekognition
    7. Microsoft Azure Computer Vision
    8. PyTorch
    9. TensorFlow
    10. Fawkes
    11. DeepPrivacy

    AI recommended 11 alternatives but never named minimaxir/person-blocker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library to anonymize faces or objects in images without requiring a GPU?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. Pillow
    3. Face_recognition
    4. Scikit-image
    5. Mediapipe
    6. MobileNet

    AI recommended 6 alternatives but never named minimaxir/person-blocker. 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 minimaxir/person-blocker?
    pass
    AI did not name minimaxir/person-blocker — likely talking about a different project

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

  • If a team adopts minimaxir/person-blocker in production, what risks or prerequisites should they evaluate first?
    pass
    AI named minimaxir/person-blocker 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 minimaxir/person-blocker solve, and who is the primary audience?
    pass
    AI did not name minimaxir/person-blocker — likely talking about a different project

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

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minimaxir/person-blocker — 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
minimaxir/person-blocker — RepoGEO report