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Echo-4o-Image Synthetic Image Generation Dataset

Date

2 months ago

Size

253.89 GB

Organization

CUHK MMLab (The Chinese University of Hong Kong Multimedia Laboratory)
Shanghai Artificial Intelligence Laboratory
Sun Yat-sen University

Paper URL

2508.09987

License

MIT

Echo-4o-Image is a synthetic image dataset released in 2025 by the Shanghai Artificial Intelligence Laboratory, in collaboration with Sun Yat-sen University, the Multimedia Laboratory (MMLab) of the Chinese University of Hong Kong, and other institutions. The related paper results are "Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation", which aims to improve the open source model's ability to generate text from images.

This dataset is generated by GPT-4o and contains approximately 179,000 samples, covering three different task types:

  • Complex instruction execution (approximately 68,000), strengthening compliance with long/detailed texts;
  • Surreal Fantasy Generation (approximately 38,000), focusing on imaginative content;
  • Multi-reference image generation (about 73,000), suitable for scenes requiring multiple visual cues.

Each sample is a 2×2 image grid with a resolution of 1024×1024, containing the image path, features (attributes/subjects), and structured information of the generated prompt.

Dataset Example

Echo-4o-Image.torrent
Seeding 1Downloading 0Completed 8Total Downloads 35
  • Echo-4o-Image/
    • README.md
      1.72 KB
    • README.txt
      3.45 KB
      • data/
        • Echo-4o-Image.zip
          253.89 GB

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