RRepoGEO

REPOGEO REPORT · LITE

uzh-rpg/event-based_vision_resources

Default branch master · commit 5fddbb85 · scanned 6/22/2026, 11:53:11 AM

GitHub: 3,578 stars · 740 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 uzh-rpg/event-based_vision_resources, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    event-based-vision, neuromorphic-vision, event-cameras, computer-vision, robotics, datasets, papers, resources, awesome-list
  • highreadme#2
    Add a clear introductory sentence to the README

    Why:

    CURRENT
    (The README currently starts with workshop listings immediately after the H1)
    COPY-PASTE FIX
    Add the following sentence directly after the H1: "This repository is a community-driven effort to collect and organize knowledge on event-based vision technology, including papers, workshops, datasets, code, and videos."
  • highlicense#3
    Create a LICENSE file and mention it in the README

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a 'LICENSE' file in the repository root with the MIT License text. Add a line to the README, e.g., 'This project is released under the MIT License. See the [LICENSE](LICENSE) file for details.'

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 uzh-rpg/event-based_vision_resources
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Metavision SDK
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Metavision SDK · recommended 1×
  2. awesome-event-based-vision/awesome-event-based-vision · recommended 1×
  3. Event-based Vision for Robotics: A Survey · recommended 1×
  4. Spiking Neural Networks for Event-Based Vision: A Survey · recommended 1×
  5. Differentiable Event Stream Processing for Neuromorphic Vision · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive collection of resources on event-based vision?
    you: not recommended
    AI recommended (in order):
    1. Metavision SDK
    2. Awesome Event-Based Vision (awesome-event-based-vision/awesome-event-based-vision)

    AI recommended 2 alternatives but never named uzh-rpg/event-based_vision_resources. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the latest research papers and datasets for neuromorphic vision systems?
    you: not recommended
    AI recommended (in order):
    1. Event-based Vision for Robotics: A Survey
    2. Spiking Neural Networks for Event-Based Vision: A Survey
    3. Differentiable Event Stream Processing for Neuromorphic Vision
    4. Neuromorphic Computing with Spiking Neural Networks: A Review
    5. Event-based Vision for High-Speed and Low-Latency Perception: A Review
    6. Learning to See with Spiking Neural Networks
    7. Deep Learning for Event-Based Vision: A Survey
    8. N-MNIST / N-CALTECH101
    9. DVS128 Gesture Dataset
    10. Prophesee GEN1 Automotive Dataset
    11. MVSEC (Multi-Vehicle Stereo Event Camera Dataset)
    12. DDD17 (Driving Dataset Dynamic 17)
    13. ASL-DVS (American Sign Language DVS)
    14. NCARS / N-CARS

    AI recommended 14 alternatives but never named uzh-rpg/event-based_vision_resources. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 uzh-rpg/event-based_vision_resources?
    pass
    AI named uzh-rpg/event-based_vision_resources explicitly

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

  • If a team adopts uzh-rpg/event-based_vision_resources in production, what risks or prerequisites should they evaluate first?
    pass
    AI named uzh-rpg/event-based_vision_resources 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 uzh-rpg/event-based_vision_resources solve, and who is the primary audience?
    pass
    AI did not name uzh-rpg/event-based_vision_resources — 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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uzh-rpg/event-based_vision_resources — 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