REPOGEO REPORT · LITE

GeorgeSeif/Semantic-Segmentation-Suite

Default branch master · commit f04c94c2 · scanned 5/14/2026, 6:28:08 AM

GitHub: 2,522 stars · 868 forks

AI VISIBILITY SCORE

22 /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

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 GeorgeSeif/Semantic-Segmentation-Suite, 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

Add deprecation and TensorFlow 1.x status to README's top section

Why:

CURRENT

# Semantic Segmentation Suite in TensorFlow

## News

### What's New

- This repo has been depricated and will no longer be handling issues. Feel free to use as is :)

COPY-PASTE FIX

# Semantic Segmentation Suite in TensorFlow

**NOTE: This repository is deprecated and no longer maintained. It is built on TensorFlow 1.x and will not be handling issues. Feel free to use it as is for historical reference or learning purposes.**

## Description
This repository serves as a Semantic Segmentation Suite. The goal is to easily be able to implement, train, and test new Semantic Segmentation models!

highlicense#2

Add a LICENSE file to the repository root

Why:

COPY-PASTE FIX

Create a `LICENSE` file in the repository root with the appropriate license text (e.g., MIT, Apache-2.0, or a custom license if applicable). If a specific license cannot be chosen, add a section to the README clarifying the usage rights.

mediumhomepage#3

Add a homepage URL to the repository settings

Why:

COPY-PASTE FIX

Add a relevant URL (e.g., a project page, a blog post about the suite, or the author's profile) to the 'Homepage' field in the repository settings.

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 GeorgeSeif/Semantic-Segmentation-Suite

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Keras

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Keras · recommended 2×
TensorFlow Lite Model Maker · recommended 1×
qubvel/segmentation_models · recommended 1×
TensorFlow Model Garden · recommended 1×
TensorFlow Extended (TFX) · recommended 1×

CATEGORY QUERY
How to easily train and test semantic segmentation models using TensorFlow?
you: not recommended
AI recommended (in order):
1. Keras
2. TensorFlow Lite Model Maker
3. Segmentation Models (qubvel/segmentation_models)
4. TensorFlow Model Garden
5. TensorFlow Extended (TFX)
AI recommended 5 alternatives but never named GeorgeSeif/Semantic-Segmentation-Suite. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a Python framework to compare various semantic segmentation architectures.
you: not recommended
AI recommended (in order):
1. PyTorch-Ignite
2. Lightning AI
3. segmentation_models.pytorch
4. Keras
5. segmentation_models
6. MONAI
7. Catalyst
AI recommended 7 alternatives but never named GeorgeSeif/Semantic-Segmentation-Suite. 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 GeorgeSeif/Semantic-Segmentation-Suite?
pass
AI did not name GeorgeSeif/Semantic-Segmentation-Suite — 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 GeorgeSeif/Semantic-Segmentation-Suite in production, what risks or prerequisites should they evaluate first?
pass
AI named GeorgeSeif/Semantic-Segmentation-Suite 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 GeorgeSeif/Semantic-Segmentation-Suite solve, and who is the primary audience?
pass
AI did not name GeorgeSeif/Semantic-Segmentation-Suite — 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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GeorgeSeif/Semantic-Segmentation-Suite — 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