REPOGEO REPORT · LITE

GeorgeSeif/Semantic-Segmentation-Suite

Default branch master · commit f04c94c2 · scanned 6/24/2026, 6:42:23 PM

GitHub: 2,521 stars · 867 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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

Reposition the 'Description' section in the README

Why:

CURRENT

The current README order is H1 -> News -> Description.

COPY-PASTE FIX

Move the entire 'Description' section content to appear immediately after the main H1 title, before the 'News' section.

highlicense#2

Add a LICENSE file to the repository

Why:

CURRENT

(no LICENSE file detected)

COPY-PASTE FIX

Create a `LICENSE` file in the repository root with the chosen license text (e.g., MIT, Apache-2.0, or a custom license if applicable).

mediumabout#3

Add a homepage URL to the repository metadata

Why:

CURRENT

(none)

COPY-PASTE FIX

Set the repository homepage URL to `https://github.com/GeorgeSeif` (or a more specific project page if one exists).

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 1 of 2 queries

COMPETITOR LEADERBOARD

Keras · recommended 1×
TensorFlow Model Garden · recommended 1×
Segmentation Models · recommended 1×
TensorFlow Lite Model Maker · recommended 1×
MONAI · recommended 1×

CATEGORY QUERY
Looking for a TensorFlow suite to easily train and test semantic segmentation models.
you: not recommended
AI recommended (in order):
1. Keras
2. TensorFlow Model Garden
3. Segmentation Models
4. TensorFlow Lite Model Maker
5. MONAI
AI recommended 5 alternatives but never named GeorgeSeif/Semantic-Segmentation-Suite. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Need a deep learning library for semantic image segmentation with various evaluation metrics.
you: not recommended
AI recommended (in order):
1. PyTorch (pytorch/pytorch)
2. torchvision (pytorch/vision)
3. PyTorch-Ignite (pytorch/ignite)
4. Keras (keras-team/keras)
5. TensorFlow (tensorflow/tensorflow)
6. segmentation_models.pytorch (qubvel/segmentation_models.pytorch)
7. MONAI (Project-MONAI/MONAI)
8. Detectron2 (facebookresearch/detectron2)
9. OpenCV (opencv/opencv)
AI recommended 9 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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HTML

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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