RRepoGEO

REPOGEO REPORT · LITE

Hedlen/awesome-segment-anything

Default branch main · commit 905eaabf · scanned 5/21/2026, 1:22:57 AM

GitHub: 1,692 stars · 132 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 Hedlen/awesome-segment-anything, 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's opening to clarify its 'awesome list' nature and specific focus

    Why:

    CURRENT
    Segment Anything has led to a new breakthrough in the field of Computer Vision (CV), and this repository will continue to track and summarize the research progress of Segment Anything in various fields, including Papers/Projects, etc.
    COPY-PASTE FIX
    This repository is an **awesome list** dedicated to tracking and summarizing the latest research, projects, and applications related to Meta's Segment Anything Model (SAM). It serves as a comprehensive, curated resource for developers, researchers, and enthusiasts in Computer Vision (CV) to explore breakthroughs in universal visual segmentation.
  • mediumtopics#2
    Correct typo and refine topics for better categorization

    Why:

    CURRENT
    application, awesome-list, chatgpt, image-generation, inpainting, object-detection, segment-anything, segmentation, stable-diffusion, suvey
    COPY-PASTE FIX
    application, awesome-list, computer-vision, image-segmentation, segment-anything, segmentation, research-papers, projects, deep-learning, ai-models, survey, chatgpt, image-generation, inpainting, object-detection, stable-diffusion
  • lowhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/Hedlen/awesome-segment-anything

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 Hedlen/awesome-segment-anything
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 2×
  2. Awesome-Segmentation · recommended 1×
  3. Kaggle Competitions · recommended 1×
  4. GitHub Topics/Search · recommended 1×
  5. Towards Data Science (Medium) · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of projects for advanced image segmentation tasks?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Awesome-Segmentation
    3. Kaggle Competitions
    4. GitHub Topics/Search
    5. Towards Data Science (Medium)
    6. Analytics Vidhya

    AI recommended 6 alternatives but never named Hedlen/awesome-segment-anything. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I track the latest research and developments in universal visual segmentation?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Papers With Code
    3. Google Scholar
    4. Twitter (X)
    5. CVPR
    6. ICCV
    7. ECCV
    8. Hugging Face
    9. YouTube
    10. Two Minute Papers
    11. Yannic Kilcher

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