RRepoGEO

REPOGEO REPORT · LITE

jianzongwu/Awesome-Open-Vocabulary

Default branch main · commit 820c128a · scanned 6/10/2026, 6:52:48 PM

GitHub: 998 stars · 44 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 jianzongwu/Awesome-Open-Vocabulary, 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 introduction to clarify its role as a curated list

    Why:

    CURRENT
    The current README starts with the paper title as the main heading.
    COPY-PASTE FIX
    Add the following sentence immediately after the main paper title heading: "This repository serves as a comprehensive, curated collection of resources and papers on open-vocabulary learning, building upon our T-PAMI 2024 survey."
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the full text of the MIT License.
  • mediumtopics#3
    Add 'awesome-list' and 'survey' topics

    Why:

    CURRENT
    computer-vision, deep-learning, open-vocabulary, tpami-2024
    COPY-PASTE FIX
    computer-vision, deep-learning, open-vocabulary, tpami-2024, awesome-list, survey

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 jianzongwu/Awesome-Open-Vocabulary
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CLIP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CLIP · recommended 2×
  2. DALL-E 2 · recommended 2×
  3. Stable Diffusion · recommended 2×
  4. OWL-ViT · recommended 2×
  5. Word2Vec · recommended 1×
  • CATEGORY QUERY
    What are the foundational concepts and recent advancements in open vocabulary learning for computer vision?
    you: not recommended
    AI recommended (in order):
    1. Word2Vec
    2. GloVe
    3. MAML
    4. CLIP
    5. ResNet
    6. Vision Transformer
    7. ALBEF
    8. GLIP
    9. DALL-E 2
    10. Stable Diffusion
    11. Midjourney
    12. OWL-ViT
    13. Florence

    AI recommended 13 alternatives but never named jianzongwu/Awesome-Open-Vocabulary. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find comprehensive resources and state-of-the-art methods for open-vocabulary deep learning?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library & Hub
    2. CLIP
    3. DALL-E 2
    4. Stable Diffusion
    5. BLIP
    6. OWL-ViT
    7. Llama 2
    8. Mistral
    9. GPT-3/4
    10. Google AI Blog
    11. PaLM 2
    12. Gemini
    13. ViT (Vision Transformer)
    14. Segment Anything Model (SAM)
    15. DINOv2
    16. Papers With Code
    17. arXiv.org
    18. Kaggle

    AI recommended 18 alternatives but never named jianzongwu/Awesome-Open-Vocabulary. 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 jianzongwu/Awesome-Open-Vocabulary?
    pass
    AI did not name jianzongwu/Awesome-Open-Vocabulary — 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 jianzongwu/Awesome-Open-Vocabulary in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jianzongwu/Awesome-Open-Vocabulary 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 jianzongwu/Awesome-Open-Vocabulary solve, and who is the primary audience?
    pass
    AI did not name jianzongwu/Awesome-Open-Vocabulary — 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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jianzongwu/Awesome-Open-Vocabulary — 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