RRepoGEO

REPOGEO REPORT · LITE

hysts/anime-face-detector

Default branch main · commit 7bcc2aee · scanned 6/14/2026, 10:46:40 PM

GitHub: 510 stars · 41 forks

AI VISIBILITY SCORE
28 /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
2 / 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 hysts/anime-face-detector, 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 highlight anime specialization

    Why:

    CURRENT
    This is an anime face detector using mmdetection and mmpose.
    COPY-PASTE FIX
    This is a specialized anime face and landmark detector, built with mmdetection and mmpose, designed to accurately identify faces in highly stylized anime and manga artwork.
  • mediumtopics#2
    Expand repository topics to reinforce anime-specific niche

    Why:

    CURRENT
    anime, computer-vision, face-detection, face-landmark-detection, pytorch
    COPY-PASTE FIX
    anime, computer-vision, face-detection, face-landmark-detection, pytorch, manga, stylized-faces
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/hysts/anime-face-detector

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 hysts/anime-face-detector
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. Dlib · recommended 2×
  3. 1adrianb/face-alignment · recommended 1×
  4. MediaPipe Face Mesh · recommended 1×
  5. ArcFace · recommended 1×
  • CATEGORY QUERY
    How can I accurately detect faces and landmarks in anime-style images using Python?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. Dlib
    3. Face-alignment (1adrianb/face-alignment)
    4. MediaPipe Face Mesh
    5. ArcFace
    6. YOLOv5

    AI recommended 6 alternatives but never named hysts/anime-face-detector. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best computer vision tools for identifying anime character facial features?
    you: not recommended
    AI recommended (in order):
    1. OpenCV
    2. Dlib
    3. Face++
    4. Microsoft Azure Cognitive Services
    5. Google Cloud Vision API
    6. MediaPipe
    7. Hugging Face Transformers
    8. PyTorch
    9. TensorFlow

    AI recommended 9 alternatives but never named hysts/anime-face-detector. 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 hysts/anime-face-detector?
    pass
    AI did not name hysts/anime-face-detector — 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 hysts/anime-face-detector in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hysts/anime-face-detector 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 hysts/anime-face-detector solve, and who is the primary audience?
    pass
    AI named hysts/anime-face-detector explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite