Summary of Public Domain 12m: a Highly Aesthetic Image-text Dataset with Novel Governance Mechanisms, by Jordan Meyer et al.
Public Domain 12M: A Highly Aesthetic Image-Text Dataset with Novel Governance Mechanisms
by Jordan Meyer, Nick Padgett, Cullen Miller, Laura Exline
First submitted to arxiv on: 30 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper introduces Public Domain 12M (PD12M), a massive dataset of 12.4 million high-quality public domain and CC0-licensed images with synthetic captions, designed for training text-to-image models. As the largest public domain image-text dataset to date, PD12M offers sufficient size to train foundation models while minimizing copyright concerns. The authors also propose novel community-driven dataset governance mechanisms through the this http URL platform, aiming to reduce harm and support reproducibility over time. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper shares a massive dataset of public domain images with captions to help machines learn from text. The authors made sure the data is safe to use and big enough to train powerful AI models. They also developed new rules for sharing this data in a way that helps people and keeps the data safe. |
