tomg-group-umd/pixelprose
From Pixels to Prose: A Large Dataset of Dense Image Captions [ arXiv paper ] | [ 🌮 image tars ] PixelProse is a comprehensive dataset of over 16M (million) synthetically generated captions, leveraging cutting-edge vision-language models (Gemini 1.0 Pro Vision) for detailed and accurate descriptions. 1. Details Total number of image-caption pairs: 16,896,214 (16.9M) 6,538,898 (6.5M) pairs in the split of CommonPool 9,066,455 (9.1M) pairs in the split of CC12M 1… See the full description on the dataset page: https://huggingface.co/datasets/tomg-group-umd/pixelprose.
| Author / organization | tomg-group-umd |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1K (as reported by Hugging Face) |
| Likes | 176 |
| Created | 14 June 2024 |
| Last updated at source | 13 December 2025 |
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- NikshepShetty/Florence-2-pixelproseModel · used to train
Recent changes
- 17 Oct 2026 Description: From Pixels to Prose: A Large Dataset of Dense Image Captions [ arXiv paper ] | [ 🌮 image tars ] PixelProse is a comprehensive dataset of over 16M (million) synthetically generated captions, leveraging cutting-edge vision-language models ( → From Pixels to Prose: A Large Dataset of Dense Image Captions [ arXiv paper ] | [ 🌮 image tars ] PixelProse is a comprehensive dataset of over 16M (million) synthetically generated captions, leveraging cutting-edge vision-language models (
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