RRepoGEO

REPOGEO REPORT · LITE

minimaxir/person-blocker

Default branch master · commit 82cc1bab · scanned 5/11/2026, 5:48:04 PM

GitHub: 2,015 stars · 209 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 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 to clarify local, no-GPU script

    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!
    COPY-PASTE FIX
    # Person Blocker
A standalone Python script to automatically "block" people or objects in images locally, without needing a GPU. Inspired by Black Mirror's 'White Christmas', this tool uses Mask R-CNN pretrained on MS COCO to redact specific elements directly on your machine.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    python, computer-vision, mask-rcnn, object-detection, image-processing, anonymization, redaction, privacy, no-gpu, local-tool
  • mediumlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms specified in the included LICENSE file.

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
Brighter AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Brighter AI · recommended 1×
  2. Amazon Rekognition · recommended 1×
  3. Google Cloud Vision AI · recommended 1×
  4. Microsoft Azure Computer Vision · recommended 1×
  5. OpenCV · recommended 1×
  • CATEGORY QUERY
    How to automatically anonymize faces or specific objects in images using AI?
    you: not recommended
    AI recommended (in order):
    1. Brighter AI
    2. Amazon Rekognition
    3. Google Cloud Vision AI
    4. Microsoft Azure Computer Vision
    5. OpenCV
    6. Fawkes
    7. D-ID

    AI recommended 7 alternatives but never named minimaxir/person-blocker. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python library to redact objects in images without needing a GPU.
    you: not recommended
    AI recommended (in order):
    1. OpenCV (cv2) (opencv/opencv)
    2. Pillow (PIL Fork) (python-pillow/Pillow)
    3. scikit-image (scikit-image/scikit-image)
    4. ImageAI (OlafenwaMoses/ImageAI)
    5. PyTorch (CPU mode) (pytorch/pytorch)
    6. TensorFlow (CPU mode) (tensorflow/tensorflow)

    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 named minimaxir/person-blocker explicitly

    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 named minimaxir/person-blocker explicitly

    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