REPOGEO REPORT · LITE

ChanChiChoi/awesome-Face_Recognition

Default branch master · commit f88f5982 · scanned 5/15/2026, 2:35:06 AM

GitHub: 4,740 stars · 970 forks

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

highreadme#1

Reposition README opening to clarify it's an 'awesome list' of papers

Why:

CURRENT

this collecting the papers (mainly from arxiv.org) about bellow themes:

COPY-PASTE FIX

This is an awesome list and curated collection of academic papers (mainly from arxiv.org) on various themes within face recognition and related fields:

mediumlicense#2

Add a LICENSE file (e.g., MIT)

Why:

COPY-PASTE FIX

Create a LICENSE file in the root of the repository, for example, using the MIT License template.

mediumtopics#3

Expand GitHub topics to cover all listed categories

Why:

CURRENT

face-alignment, face-detection, face-generation, face-recognition, face-reconstruction, face-retrieval, face-superresolution, face-tracking, face-transfer

COPY-PASTE FIX

face-alignment, face-detection, face-generation, face-recognition, face-reconstruction, face-retrieval, face-superresolution, face-tracking, face-transfer, face-attributes, face-analysis, face-quality, face-parsing, face-clustering, face-application, model-acceleration, model-compression, datasets, computer-vision-papers, deep-learning-papers

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

Of all named tools, what % are you?

Top rival

Google Scholar

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Google Scholar · recommended 1×
arXiv · recommended 1×
IEEE Xplore Digital Library · recommended 1×
CVPR · recommended 1×
ICCV · recommended 1×

CATEGORY QUERY
Where can I find academic papers on advanced face detection and recognition techniques?
you: not recommended
AI recommended (in order):
1. Google Scholar
2. arXiv
3. IEEE Xplore Digital Library
4. CVPR
5. ICCV
6. WACV
7. ACM Digital Library
8. ACM Multimedia
9. ACM Transactions on Intelligent Systems and Technology (TIST)
10. SpringerLink
11. ScienceDirect (Elsevier)
12. Pattern Recognition
13. Image and Vision Computing
14. Computer Vision and Image Understanding
15. ResearchGate
16. Academia.edu
17. Microsoft Academic
AI recommended 17 alternatives but never named ChanChiChoi/awesome-Face_Recognition. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the latest research papers on face generation, reconstruction, and anti-spoofing?
you: not recommended
AI recommended (in order):
1. StyleGAN3
2. Diffusion Models
3. GANs
4. Latent Diffusion Models
5. Stable Diffusion
6. EG3D
7. DECA
8. PIRenderer
9. DeepPixBis
AI recommended 9 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?

Embed your GEO score

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MARKDOWN (README)

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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