RRepoGEO

REPOGEO REPORT · LITE

ChanChiChoi/awesome-Face_Recognition

Default branch master · commit f88f5982 · scanned 6/25/2026, 5:03:03 PM

GitHub: 4,739 stars · 973 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)

3 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 ChanChiChoi/awesome-Face_Recognition, 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
  • highabout#1
    Rewrite the repository description to clearly state it's a curated list of papers

    Why:

    CURRENT
    papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
    COPY-PASTE FIX
    A comprehensive, curated awesome list of research papers on Face Detection, Alignment, Recognition, Reconstruction, Tracking, Super-Resolution, Deblurring, Generation, Synthesis, Transfer, Anti-Spoofing, and Retrieval.
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clarify usage rights for contributors and users.
  • lowhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a GitHub Pages site, project website, or even the repo itself) to the 'Homepage' field in the repository settings.

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 ChanChiChoi/awesome-Face_Recognition
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
arXiv
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. arXiv · recommended 1×
  2. Google Scholar · recommended 1×
  3. CVF Open Access · recommended 1×
  4. IEEE Xplore Digital Library · recommended 1×
  5. ACM Digital Library · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of research papers on face detection and recognition?
    you: not recommended
    AI recommended (in order):
    1. arXiv
    2. Google Scholar
    3. CVF Open Access
    4. IEEE Xplore Digital Library
    5. ACM Digital Library
    6. Papers With Code

    AI recommended 6 alternatives but never named ChanChiChoi/awesome-Face_Recognition. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest advancements and papers in facial synthesis, tracking, and anti-spoofing?
    you: not recommended
    AI recommended (in order):
    1. StyleGAN
    2. StyleGAN2
    3. StyleGAN3
    4. DALL-E 2
    5. Stable Diffusion
    6. NeRF
    7. MediaPipe Face Mesh
    8. DECA
    9. FLAME
    10. DeepFaceLive
    11. Apple's Face ID

    AI recommended 11 alternatives but never named ChanChiChoi/awesome-Face_Recognition. 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 ChanChiChoi/awesome-Face_Recognition?
    pass
    AI did not name ChanChiChoi/awesome-Face_Recognition — 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 ChanChiChoi/awesome-Face_Recognition in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ChanChiChoi/awesome-Face_Recognition 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 ChanChiChoi/awesome-Face_Recognition solve, and who is the primary audience?
    pass
    AI did not name ChanChiChoi/awesome-Face_Recognition — 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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ChanChiChoi/awesome-Face_Recognition — 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