📸 New Dataset: MMP-2K — A Benchmark For Macro Photography Image Quality Assessment (IQA)

Hi everyone,

We just released MMP-2K, the first large-scale benchmark dataset for Macro Photography Image Quality Assessment (IQA). (PLEASE GIVE US A STAR IN GITHUB)

What’s inside:

• ✅ 2,000 macro photos (captured under diverse settings)
• ✅ Human MOS (Mean Opinion Score) quality ratings
• ✅ Multi-dimensional distortion labels (blur, noise, color, artifacts, etc.)

Why it matters:

• Current state-of-the-art IQA models perform well on natural images, but collapse on macro photography.
• MMP-2K reveals new challenges for IQA and opens a new research frontier.

Resources:

• 📄 Paper (ICIP 2025)
• 💾 Dataset & Code (GitHub)

I’d love to hear your thoughts:
👉 How would you approach IQA for macro photos?
👉 Do you think existing deep IQA models can adapt to this domain?

Thanks, and happy to answer any questions!