RRepoGEO

REPOGEO REPORT · LITE

zzh8829/yolov3-tf2

Default branch master · commit 2784050f · scanned 5/22/2026, 7:24:03 PM

GitHub: 2,517 stars · 891 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
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 zzh8829/yolov3-tf2, 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
    Reposition README's opening sentence to emphasize framework

    Why:

    CURRENT
    This repo provides a clean implementation of YoloV3 in TensorFlow 2.0 using all the best practices.
    COPY-PASTE FIX
    This repository provides a robust and clean TensorFlow 2.0 framework for real-time object detection with YoloV3, designed for easy integration and transfer learning.
  • mediumabout#2
    Enhance the repository's "About" description

    Why:

    CURRENT
    YoloV3 Implemented in Tensorflow 2.0
    COPY-PASTE FIX
    A robust TensorFlow 2.0 framework for real-time object detection using YoloV3, featuring pre-trained weights, transfer learning, and TF Serving support.
  • lowhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://colab.research.google.com/github/zzh8829/yolov3-tf2/blob/master/colab_gpu.ipynb

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 zzh8829/yolov3-tf2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow 2 Object Detection API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow 2 Object Detection API · recommended 1×
  2. YOLOv8 (Ultralytics YOLO) · recommended 1×
  3. EfficientDet · recommended 1×
  4. SSD (Single Shot MultiBox Detector) · recommended 1×
  5. MediaPipe Object Detection · recommended 1×
  • CATEGORY QUERY
    How can I implement real-time object detection using TensorFlow 2 for computer vision tasks?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow 2 Object Detection API
    2. YOLOv8 (Ultralytics YOLO)
    3. EfficientDet
    4. SSD (Single Shot MultiBox Detector)
    5. MediaPipe Object Detection
    6. TensorFlow Lite

    AI recommended 6 alternatives but never named zzh8829/yolov3-tf2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a TensorFlow 2 framework for efficient object detection with pre-trained models.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow 2 Object Detection API (tensorflow/models)
    2. KerasCV (keras-team/keras-cv)
    3. YOLOv8 (Ultralytics) (ultralytics/ultralytics)
    4. MMDetection (open-mmlab/mmdetection)
    5. Detectron2 (facebookresearch/detectron2)

    AI recommended 5 alternatives but never named zzh8829/yolov3-tf2. 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 zzh8829/yolov3-tf2?
    pass
    AI named zzh8829/yolov3-tf2 explicitly

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

  • If a team adopts zzh8829/yolov3-tf2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zzh8829/yolov3-tf2 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 zzh8829/yolov3-tf2 solve, and who is the primary audience?
    pass
    AI did not name zzh8829/yolov3-tf2 — 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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zzh8829/yolov3-tf2 — 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