RRepoGEO

REPOGEO REPORT · LITE

IDEA-Research/Grounded-SAM-2

Default branch main · commit b7a9c29f · scanned 5/25/2026, 9:12:06 PM

GitHub: 3,527 stars · 413 forks

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 IDEA-Research/Grounded-SAM-2, 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 GitHub topics

    Why:

    COPY-PASTE FIX
    video-segmentation, object-tracking, computer-vision, foundation-models, grounding-dino, sam-2, florence-2, open-world-vision, deep-learning, ai-research, multimodal-ai, visual-tracking, object-segmentation
  • mediumreadme#2
    Add a concise introductory paragraph immediately after the H1

    Why:

    COPY-PASTE FIX
    Grounded SAM 2 is an integrated foundation model pipeline designed for grounding and tracking arbitrary objects in videos. It leverages powerful open-world models like Grounding DINO, Florence-2, and SAM 2 to provide a simplified and efficient solution for diverse visual tasks.
  • lowreadme#3
    Add a 'Why Grounded SAM 2?' section to clarify its advantage over individual models

    Why:

    COPY-PASTE FIX
    ## Why Grounded SAM 2?

While powerful, integrating individual models like Grounding DINO, Florence-2, and SAM 2 for video grounding and tracking can be complex. Grounded SAM 2 provides a streamlined, easy-to-use pipeline that simplifies this process, offering a unified framework for diverse visual tasks with enhanced user convenience.

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 IDEA-Research/Grounded-SAM-2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepSORT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepSORT · recommended 1×
  2. YOLOv8 · recommended 1×
  3. YOLOv9 · recommended 1×
  4. Segment Anything Model (SAM) · recommended 1×
  5. ByteTrack · recommended 1×
  • CATEGORY QUERY
    How to track and segment arbitrary objects across frames in a video?
    you: not recommended
    AI recommended (in order):
    1. DeepSORT
    2. YOLOv8
    3. YOLOv9
    4. Segment Anything Model (SAM)
    5. ByteTrack
    6. Track Anything Model (TAM)
    7. Mask2Former
    8. Intersection over Union (IoU) tracker
    9. Kalman filter-based tracker
    10. XMem
    11. Segment Anything in High Quality (SAHQ)

    AI recommended 11 alternatives but never named IDEA-Research/Grounded-SAM-2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for open-world object detection and segmentation in video?
    you: not recommended
    AI recommended (in order):
    1. YOLOv8 (ultralytics/ultralytics)
    2. Segment Anything Model (SAM) (facebookresearch/segment-anything)
    3. Mask R-CNN
    4. Detectron2 (facebookresearch/detectron2)
    5. Grounding DINO (IDEA-Research/GroundingDINO)
    6. YOLOv7 (WongKinYiu/yolov7)

    AI recommended 6 alternatives but never named IDEA-Research/Grounded-SAM-2. 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 IDEA-Research/Grounded-SAM-2?
    pass
    AI named IDEA-Research/Grounded-SAM-2 explicitly

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

  • If a team adopts IDEA-Research/Grounded-SAM-2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named IDEA-Research/Grounded-SAM-2 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 IDEA-Research/Grounded-SAM-2 solve, and who is the primary audience?
    pass
    AI named IDEA-Research/Grounded-SAM-2 explicitly

    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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MARKDOWN (README)
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IDEA-Research/Grounded-SAM-2 — 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