Yejy53/Echo-4o-Image
Echo-4o-Image Dataset Paper | Project Page | Code Introduction Echo-4o-Image is a 180K-scale synthetic dataset generated by GPT-4o, designed to advance open-source models in image generation. While real-world image datasets are valuable, synthetic images offer crucial advantages, especially in addressing blind spots in real-world coverage: Complementing Rare Scenarios: Synthetic data can generate examples for scenarios less represented in real-world datasets… See the full description on the dataset page: https://huggingface.co/datasets/Yejy53/Echo-4o-Image.
| Author / organization | Yejy53 |
|---|---|
| License (as declared) | mit |
| Downloads | 480 (as reported by Hugging Face) |
| Likes | 36 |
| Created | 11 August 2025 |
| Last updated at source | 9 October 2025 |
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480 now (+37 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: Echo-4o-Image Dataset Paper | Project Page | Code Introduction Echo-4o-Image is a 180K-scale synthetic dataset generated by GPT-4o, designed to advance open-source models in image generation. While real-world image datasets are valuable, sy → Echo-4o-Image Dataset Paper | Project Page | Code Introduction Echo-4o-Image is a 180K-scale synthetic dataset generated by GPT-4o, designed to advance open-source models in image generation. While real-world image datasets are valuable, sy
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