RRepoGEO

REPOGEO REPORT · LITE

deepcam-cn/yolov5-face

Default branch master · commit 152c688d · scanned 5/25/2026, 7:08:03 AM

GitHub: 2,394 stars · 526 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 deepcam-cn/yolov5-face, 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 to clearly state purpose and features

    Why:

    CURRENT
    ## What's New

**2024.04** ncnn-android-yolov8-face

**2023.04** yolov8-face (🔥🔥🔥↑)
    COPY-PASTE FIX
    # YOLOv5-Face: Real-time Face Detection, Landmark, and Head Pose Estimation

This repository provides an optimized, real-time solution for face detection, face landmark detection, and head pose estimation, leveraging the efficiency of YOLOv5, YOLOv7, and YOLOv8 models. It is based on the paper 'YOLO5Face: Why Reinventing a Face Detector' (https://arxiv.org/abs/2105.12931) presented at ECCV Workshops 2022.

## What's New

**2024.04** ncnn-android-yolov8-face

**2023.04** yolov8-face (🔥🔥🔥↑)
  • mediumhomepage#2
    Add the arXiv paper URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2105.12931
  • lowtopics#3
    Expand topics to include specific capabilities like face landmarks and head pose

    Why:

    CURRENT
    arcface, blazeface, pytorch, retinaface, scrfd, shufflenet, tensorrt, tinaface, yolo, yolov5, yolov7
    COPY-PASTE FIX
    arcface, blazeface, pytorch, retinaface, scrfd, shufflenet, tensorrt, tinaface, yolo, yolov5, yolov7, face-detection, face-landmarks, head-pose-estimation, real-time

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 deepcam-cn/yolov5-face
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MediaPipe Face Detection
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MediaPipe Face Detection · recommended 1×
  2. YOLO (YOLOv5 or YOLOv8) · recommended 1×
  3. MTCNN (Multi-task Cascaded Convolutional Networks) · recommended 1×
  4. OpenCV's DNN module · recommended 1×
  5. RetinaFace · recommended 1×
  • CATEGORY QUERY
    What's a fast and accurate face detection model for real-time applications?
    you: not recommended
    AI recommended (in order):
    1. MediaPipe Face Detection
    2. YOLO (YOLOv5 or YOLOv8)
    3. MTCNN (Multi-task Cascaded Convolutional Networks)
    4. OpenCV's DNN module
    5. RetinaFace
    6. DSFD (Dual Shot Face Detector)

    AI recommended 6 alternatives but never named deepcam-cn/yolov5-face. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a high-performance face detection library with PyTorch and optimized inference.
    you: not recommended
    AI recommended (in order):
    1. RetinaFace (deepinsight/insightface)
    2. MTCNN
    3. YOLO-Face
    4. FaceBoxes
    5. DSFD

    AI recommended 5 alternatives but never named deepcam-cn/yolov5-face. 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 deepcam-cn/yolov5-face?
    pass
    AI named deepcam-cn/yolov5-face explicitly

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

  • If a team adopts deepcam-cn/yolov5-face in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepcam-cn/yolov5-face 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 deepcam-cn/yolov5-face solve, and who is the primary audience?
    pass
    AI named deepcam-cn/yolov5-face explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite