RRepoGEO

REPOGEO REPORT · LITE

eg4000/SKU110K_CVPR19

Default branch master · commit 1fb83d6d · scanned 6/4/2026, 1:58:23 PM

GitHub: 841 stars · 189 forks

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 eg4000/SKU110K_CVPR19, 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
  • highabout#1
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    Dataset and codebase for precise object detection in densely packed retail shelf scenes, featuring the SKU-110K dataset, Soft-IoU layer, and EM-Merger unit.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ['object-detection', 'dense-object-detection', 'retail-analytics', 'computer-vision', 'dataset', 'cvpr2019', 'pytorch', 'deep-learning', 'sku110k']
  • highlicense#3
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the chosen open-source license (e.g., MIT, Apache-2.0, or a custom license if applicable).

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 eg4000/SKU110K_CVPR19
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
YOLO (You Only Look Once) series
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. YOLO (You Only Look Once) series · recommended 1×
  2. facebookresearch/detectron2 · recommended 1×
  3. EfficientDet · recommended 1×
  4. open-mmlab/mmdetection · recommended 1×
  5. opencv/opencv · recommended 1×
  • CATEGORY QUERY
    How to accurately detect individual items within densely packed retail shelf images?
    you: not recommended
    AI recommended (in order):
    1. YOLO (You Only Look Once) series
    2. Detectron2 (facebookresearch/detectron2)
    3. EfficientDet
    4. MMDetection (open-mmlab/mmdetection)
    5. OpenCV's DNN module (opencv/opencv)

    AI recommended 5 alternatives but never named eg4000/SKU110K_CVPR19. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What methods improve object detection performance in scenes with many overlapping objects?
    you: not recommended
    AI recommended (in order):
    1. Cascade R-CNN
    2. Libra R-CNN
    3. Faster R-CNN
    4. Feature Pyramid Network (FPN)
    5. Mask R-CNN
    6. Soft-NMS (Non-Maximum Suppression)
    7. Centernet
    8. YOLOv4
    9. YOLOv5
    10. Mosaic
    11. CutMix

    AI recommended 11 alternatives but never named eg4000/SKU110K_CVPR19. 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 eg4000/SKU110K_CVPR19?
    pass
    AI named eg4000/SKU110K_CVPR19 explicitly

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

  • If a team adopts eg4000/SKU110K_CVPR19 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named eg4000/SKU110K_CVPR19 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 eg4000/SKU110K_CVPR19 solve, and who is the primary audience?
    pass
    AI did not name eg4000/SKU110K_CVPR19 — 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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MARKDOWN (README)
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eg4000/SKU110K_CVPR19 — 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