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RankIQA: MATLAB Toolkit for Reproducing ICCV 2017 Ranking Paper

Use RankIQA to replicate the ICCV 2017 ranking model in MATLAB, ideal for AI researchers and founders building vision‑based evaluation tools.

From the repo · “The rep for the RankIQA paper in ICCV 2017 ”

451 stars115 forksMATLABGuide quality 8/10 · reviewed Oct 10Updated 2/19/2019100% free · open source
What it does

RankIQA is a MATLAB-based tool for image quality assessment, allowing users to evaluate and compare the quality of different images using a ranking approach.

When to use it
  • •When you need to compare the quality of images that have undergone different processing or compression algorithms
  • •When you want to assess the effectiveness of image enhancement or restoration techniques
  • •When you need to evaluate the quality of images captured by different cameras or devices
Ready-to-paste prompt
Run the command `RankIQA_demo('image1.jpg', 'image2.jpg')` to compare the quality of two images using the RankIQA tool
Heads up: Make sure you have MATLAB version R2015b or later installed, as the tool uses functions and syntax that are not compatible with earlier versions of MATLAB
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

⚡ Runs out of the box

A prompt/skill package — nothing to install beyond adding it to your AI tool.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/rankiqa && curl -fsSL https://workflowstacks.com/api/skills/rankiqa/claude-skill -o ~/.claude/skills/rankiqa/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How RankIQA: MATLAB Toolkit for Reproducing ICCV 2017 Ranking Paper works
Codeflow
Free to inspect

RankIQA: MATLAB Toolkit for Reproducing ICCV 2017 Ranking Paper is mostly documents (24 doc files, 58 small scripts) — something you read, not something you run. There is nothing to install. Last commit 93 months ago, MIT license.

Size
Mostly documents
24 documents · 58 small scripts · days to read — use, don't read
Setup
Nothing to install
A guide / curated list. Just read it and follow the links.
Runs on
Nowhere — you read it
A reading resource, not a program.
MATLAB 83%Python 17%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    src/__init__.py
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic35 files
data/rank_tid2013/Folder111 files
models/Data models & types5 files
data/data_generator/Folder4 files
pdf/Folder2 files
data/live/Folder1 files
data/rank_live/Folder1 files
data/tid2013/Folder1 files
READMEHas testsDocumentedMIT licenseLast update 93 mo ago
Quick Actions
Details
Creator
xialeiliu
Language
MATLAB
Category
ai-agent
Published
7/24/2017

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