RRepoGEO

REPOGEO REPORT · LITE

theAIGuysCode/yolov4-custom-functions

Default branch master · commit 8f2c922a · scanned 6/11/2026, 9:43:17 AM

GitHub: 610 stars · 363 forks

AI VISIBILITY SCORE
28 /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
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 theAIGuysCode/yolov4-custom-functions, 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
    Clarify README's opening statement to emphasize 'add-on functions'

    Why:

    CURRENT
    A wide range of custom functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny implemented in TensorFlow, TFLite and TensorRT.
    COPY-PASTE FIX
    A collection of ready-to-use, custom post-processing functions and application examples for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny, implemented in TensorFlow, TFLite, and TensorRT. This repository focuses on exploring unique customizations like object counting and text extraction, rather than providing the most optimized core YOLO implementation.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    [Insert URL to a project page, demo, or relevant author profile here]
  • lowtopics#3
    Add more specific topics to highlight custom functions and applications

    Why:

    CURRENT
    custom-yolov4, object-detection, tensorflow, tensorrt, tf2, tflite, yolov3, yolov4, yolov4-tiny
    COPY-PASTE FIX
    custom-yolov4, object-detection, tensorflow, tensorrt, tf2, tflite, yolov3, yolov4, yolov4-tiny, yolo-post-processing, object-counting, ocr-detection, custom-applications

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 theAIGuysCode/yolov4-custom-functions
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenCV
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenCV · recommended 2×
  2. Ultralytics YOLO · recommended 1×
  3. PyTorch · recommended 1×
  4. TensorFlow/Keras · recommended 1×
  5. NVIDIA TensorRT · recommended 1×
  • CATEGORY QUERY
    How can I add custom post-processing functions to my YOLO object detection pipeline?
    you: not recommended
    AI recommended (in order):
    1. Ultralytics YOLO
    2. OpenCV
    3. PyTorch
    4. TensorFlow/Keras
    5. NVIDIA TensorRT

    AI recommended 5 alternatives but never named theAIGuysCode/yolov4-custom-functions. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help implement object counting or text extraction with real-time object detection?
    you: not recommended
    AI recommended (in order):
    1. YOLO (You Only Look Once)
    2. OpenCV
    3. Tesseract OCR
    4. DeepStream SDK (NVIDIA)
    5. TensorFlow Lite
    6. PyTorch Mobile
    7. Azure Custom Vision
    8. AWS Rekognition Custom Labels
    9. Azure Computer Vision API
    10. AWS Textract
    11. PaddlePaddle
    12. PaddleDetection
    13. PaddleOCR

    AI recommended 13 alternatives but never named theAIGuysCode/yolov4-custom-functions. 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 theAIGuysCode/yolov4-custom-functions?
    pass
    AI named theAIGuysCode/yolov4-custom-functions explicitly

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

  • If a team adopts theAIGuysCode/yolov4-custom-functions in production, what risks or prerequisites should they evaluate first?
    pass
    AI named theAIGuysCode/yolov4-custom-functions 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 theAIGuysCode/yolov4-custom-functions solve, and who is the primary audience?
    pass
    AI did not name theAIGuysCode/yolov4-custom-functions — 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?

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  • Brand-free category queries5 vs 2 in Lite
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