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README.md
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---
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task_categories:
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- text-to-3d
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- image-to-3d
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- image-text-to-image
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- any-to-any
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tags:
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- Camera
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- 3D Vision
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- Spatial AI
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- Physical AI
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- World Model
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- Camera Parameter
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- Open Images
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- Generation
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---
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# Open-Images-Camera
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Per-image camera parameter annotations for the **Open Images** dataset
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(the image-bearing WebDataset build `dalle-mini/open-images`; 8,338,780 images across 1,838 shards), captioned by the [**Puffin-World**](https://github.com/KangLiao929/Puffin) model. More captioned datasets are provided in our [**Puffin-16M**](https://kangliao929.github.io/projects/puffin-16m/) website.
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The collage above visualizes the camera maps on sample images — each
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pair shows the **up field** (green arrows: the projected gravity-up direction)
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and the **latitude field** (colored contours: angle above/below the horizon).
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## Format
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One `.tar` per source shard (`oi_train_*.tar`, `oi_test_*.tar`, `oi_valid_*.tar`),
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each containing one `.json` per image whose name matches the source image stem.
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Each JSON holds the predicted monocular camera parameters:
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| Field | Meaning | Unit |
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|-------|---------|------|
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| `roll` | camera roll | radians |
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| `pitch` | camera pitch | radians |
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| `vfov` | vertical field-of-view | radians |
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| `k1` | radial distortion coefficient | – |
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| `parse_ok` | whether the model output parsed within valid ranges | bool |
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Example:
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```json
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{"roll": 0.0123, "pitch": -0.0871, "vfov": 1.0123, "k1": 0.0000, "parse_ok": true}
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```
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## Camera Parameter Distributions
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Histograms of the predicted roll / pitch / vertical-FoV over the whole dataset
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(proportion of valid samples per 10° bin; `parse_ok=False` excluded).
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| split | roll μ / med / σ | pitch μ / med / σ | FoV μ / med / σ |
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|-------|------------------|-------------------|-----------------|
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| all (8,317,951) | 0.1° / 0.0° / 6.2° | −3.1° / −1.1° / 14.8° | 31.8° / 31.2° / 8.2° |
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- **Roll** is sharply peaked at 0° (web images shot upright/level).
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- **Pitch** is centered slightly negative with a broad spread (σ ≈ 14.8°),
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reflecting the unconstrained viewpoints of large-scale web imagery.
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- **FoV** concentrates in 25–40° (median ≈ 31°).
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If you'd like a dataset with a more diverse and uniform distribution of camera parameters, please refer to our [Puffin-4M](https://huggingface.co/datasets/KangLiao/Puffin-4M) and [Puffin-16M](https://huggingface.co/datasets/KangLiao/Puffin-16M) datasets.
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### Dataset Download
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You can download the entire dataset using the following command:
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```bash
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hf download KangLiao/Open-Images-Camera --repo-type dataset
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```
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### Caption Pipeline
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Beyond this captioned dataset, we also release **a complete captioning pipeline** for annotating camera parameters for arbitrary datasets, analyzing camera parameter distributions, and visualizing the corresponding camera maps. The pipeline is available in our [GitHub repository](https://github.com/KangLiao929/Puffin).
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### Citation
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If you find the captioned dataset useful for your research or applications, please cite our paper using the following BibTeX:
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```bibtex
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@article{liao2025puffin,
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title={Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation},
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author={Liao, Kang and Wu, Size and Wu, Zhonghua and Jin, Linyi and Wang, Chao and Wang, Yikai and Wang, Fei and Li, Wei and Loy, Chen Change},
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journal={arXiv preprint arXiv:2510.08673},
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year={2025}
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}
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```
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