RRepoGEO

REPOGEO REPORT · LITE

NVlabs/FoundationPose

Default branch main · commit a1b694b8 · scanned 6/22/2026, 6:23:20 AM

GitHub: 3,309 stars · 495 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
35 /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
3 / 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 NVlabs/FoundationPose, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen the README's opening statement for AI categorization

    Why:

    CURRENT
    We present FoundationPose, a unified foundation model for 6D object pose estimation and tracking, supporting both model-based and model-free setups.
    COPY-PASTE FIX
    FoundationPose is a unified foundation model for zero-shot 6D object pose estimation and tracking of novel objects, instantly applicable without fine-tuning. It supports both model-based and model-free setups.
  • mediumreadme#2
    Clarify the existing license(s) directly in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is released under [insert specific license name(s) here, e.g., 'the NVIDIA Source Code License for FoundationPose and the Apache 2.0 License for third-party components']. Please refer to the `LICENSE` file for full 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 NVlabs/FoundationPose
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GraspNeRF
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GraspNeRF · recommended 1×
  2. OnePose++ · recommended 1×
  3. MegaPose · recommended 1×
  4. Gen6D · recommended 1×
  5. CO3D · recommended 1×
  • CATEGORY QUERY
    How to perform 6D pose estimation and tracking for new objects without fine-tuning?
    you: not recommended
    AI recommended (in order):
    1. GraspNeRF
    2. OnePose++
    3. MegaPose
    4. Gen6D
    5. CO3D
    6. SuperPoint
    7. SuperGlue

    AI recommended 7 alternatives but never named NVlabs/FoundationPose. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a flexible solution for 6D object pose and tracking using either CAD or reference images.
    you: not recommended
    AI recommended (in order):
    1. OpenCV (opencv/opencv)
    2. Open3D (isl-org/Open3D)
    3. ARKit
    4. ARCore
    5. Halcon
    6. Visometry VisionLib
    7. PCL (Point Cloud Library) (PointCloudLibrary/pcl)

    AI recommended 7 alternatives but never named NVlabs/FoundationPose. 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 NVlabs/FoundationPose?
    pass
    AI named NVlabs/FoundationPose explicitly

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

  • If a team adopts NVlabs/FoundationPose in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NVlabs/FoundationPose 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 NVlabs/FoundationPose solve, and who is the primary audience?
    pass
    AI named NVlabs/FoundationPose explicitly

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

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MARKDOWN (README)
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NVlabs/FoundationPose — 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