CHang/ROVI
ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation Overview ROVI is a high-quality synthetic dataset featuring 1M curated web images with comprehensive image descriptions and bounding box annotations. Using a novel VLM-LLM re-captioning strategy, ROVI exceeds existing detection-centric datasets in image description, quality, and resolution, while containing two orders of magnitude more categories with an… See the full description on the dataset page: https://huggingface.co/datasets/CHang/ROVI.
| Author / organization | CHang |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 217 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 30 July 2025 |
| Last updated at source | 27 October 2025 |
Recent changes
- 16 Oct 2026 Description: ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation Overview ROVI is a high-quality synthetic dataset featuring 1M curated web images with comprehensive image descriptions and bounding box ann → ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation Overview ROVI is a high-quality synthetic dataset featuring 1M curated web images with comprehensive image descriptions and bounding box ann
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