RRepoGEO

REPOGEO REPORT · LITE

rishizek/tensorflow-deeplab-v3-plus

Default branch master · commit f6b416be · scanned 6/6/2026, 1:47:49 PM

GitHub: 840 stars · 304 forks

AI VISIBILITY SCORE
47 /100
Critical
Category recall
1 / 2
Avg rank #4.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 rishizek/tensorflow-deeplab-v3-plus, 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 the README's opening sentence to clarify its specific offering

    Why:

    CURRENT
    This repo attempts to reproduce Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation (DeepLabv3+) in TensorFlow for semantic image segmentation on the PASCAL VOC dataset and Cityscapes dataset.
    COPY-PASTE FIX
    This repository provides an open-source TensorFlow 1.x implementation of DeepLabv3+ for semantic image segmentation, specifically for the PASCAL VOC and Cityscapes datasets.
  • mediumtopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    deeplab, deeplab-resnet, deeplabv3, deeplabv3plus, pascal-voc, tensorflow
    COPY-PASTE FIX
    deeplab, deeplab-resnet, deeplabv3, deeplabv3plus, pascal-voc, tensorflow, semantic-segmentation, image-segmentation, cityscapes-dataset
  • lowhomepage#3
    Add the repository URL as the homepage link

    Why:

    COPY-PASTE FIX
    https://github.com/rishizek/tensorflow-deeplab-v3-plus

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
1 / 2
50% of queries surface rishizek/tensorflow-deeplab-v3-plus
Avg rank
#4.0
Lower is better. #1 = top recommendation.
Share of voice
10%
Of all named tools, what % are you?
Top rival
TensorFlow Models
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Models · recommended 1×
  2. bonlime/DeeplabV3Plus-Tensorflow · recommended 1×
  3. savan77/keras-deeplab-v3-plus · recommended 1×
  4. qubvel/segmentation_models · recommended 1×
  5. tensorflow/models · recommended 1×
  • CATEGORY QUERY
    Need a TensorFlow implementation for DeepLabv3+ to perform semantic image segmentation.
    you: #4
    AI recommended (in order):
    1. TensorFlow Models
    2. DeeplabV3Plus-Tensorflow (bonlime/DeeplabV3Plus-Tensorflow)
    3. keras-deeplab-v3-plus (savan77/keras-deeplab-v3-plus)
    4. TensorFlow-DeepLab-v3-plus (ycszen/TensorFlow-DeepLab-v3-plus) ← you
    5. Segmentation Models (qubvel/segmentation_models)
    Show full AI answer
  • CATEGORY QUERY
    Looking for open-source DeepLabv3+ models for image segmentation on PASCAL VOC dataset.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Models (DeepLab) (tensorflow/models)
    2. pytorch-deeplab-resnet (VainF/pytorch-deeplab-resnet)
    3. pytorch-deeplab-v3-plus (jfzhang95/pytorch-deeplab-v3-plus)
    4. DeepLabV3Plus-Pytorch (DrSleep/DeepLabV3Plus-Pytorch)
    5. keras-deeplabv3plus (bonlime/keras-deeplabv3plus)

    AI recommended 5 alternatives but never named rishizek/tensorflow-deeplab-v3-plus. 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 rishizek/tensorflow-deeplab-v3-plus?
    pass
    AI did not name rishizek/tensorflow-deeplab-v3-plus — 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?

  • If a team adopts rishizek/tensorflow-deeplab-v3-plus in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rishizek/tensorflow-deeplab-v3-plus 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 rishizek/tensorflow-deeplab-v3-plus solve, and who is the primary audience?
    pass
    AI did not name rishizek/tensorflow-deeplab-v3-plus — 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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rishizek/tensorflow-deeplab-v3-plus — 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