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.

  

Citation

If you find this dataset or the associated work useful for your research, please cite the paper: "`bib @article{ye2025echo4o, title={Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation}, author={Junyan Ye, Dongzhi Jiang, Zihao Wang, Leqi Zhu, Zhenghao Hu, Zilong Huang, Jun He, Zhiyuan Yan, Jinghua Yu, Hongsheng Li, Conghui He, Weijia Li} journal={https://arxiv.org/abs/2508.09987}, year={2025}, }