REPOGEO REPORT · LITE

unrealcv/synthetic-computer-vision

Default branch master · commit 9bd59d3d · scanned 5/20/2026, 8:13:06 AM

GitHub: 1,022 stars · 182 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

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 unrealcv/synthetic-computer-vision, 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 statement to clarify the repo's purpose

Why:

CURRENT

This is a repo for tracking the progress of using synthetic images for computer vision research.

COPY-PASTE FIX

This repository is a curated and community-maintained list of synthetic datasets and tools for computer vision research.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://github.com/unrealcv/synthetic-computer-vision
```

lowtopics#3

Expand repository topics to emphasize its nature as a curated list

Why:

CURRENT

computer-vision, dataset, synthetic-images, virtual-worlds

COPY-PASTE FIX

computer-vision, dataset, synthetic-images, virtual-worlds, awesome-list, curated-list, resource-collection

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 unrealcv/synthetic-computer-vision

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Papers With Code - Datasets (Synthetic)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Papers With Code - Datasets (Synthetic) · recommended 1×
Awesome Synthetic Datasets · recommended 1×
Google Dataset Search · recommended 1×
Kaggle Datasets · recommended 1×
Academic Papers and Surveys on Synthetic Data · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive list of synthetic image datasets for computer vision research?
you: not recommended
AI recommended (in order):
1. Papers With Code - Datasets (Synthetic)
2. Awesome Synthetic Datasets
3. Google Dataset Search
4. Kaggle Datasets
5. Academic Papers and Surveys on Synthetic Data
AI recommended 5 alternatives but never named unrealcv/synthetic-computer-vision. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What resources provide synthetic training data for developing computer vision models?
you: not recommended
AI recommended (in order):
1. Unity Perception Package
2. Unreal Engine
3. NVIDIA Omniverse
4. Blender
5. NVIDIA Omniverse Replicator
6. scikit-image
7. OpenCV
8. ShapeNet
9. Google Scanned Objects
AI recommended 9 alternatives but never named unrealcv/synthetic-computer-vision. 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 unrealcv/synthetic-computer-vision?
pass
AI did not name unrealcv/synthetic-computer-vision — 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 unrealcv/synthetic-computer-vision in production, what risks or prerequisites should they evaluate first?
pass
AI named unrealcv/synthetic-computer-vision 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 unrealcv/synthetic-computer-vision solve, and who is the primary audience?
pass
AI did not name unrealcv/synthetic-computer-vision — 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

<a href="https://repogeo.com/en/r/unrealcv/synthetic-computer-vision"><img src="https://repogeo.com/badge/unrealcv/synthetic-computer-vision.svg" alt="RepoGEO" /></a>

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unrealcv/synthetic-computer-vision — 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