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README.md
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---
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license:
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task_categories:
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- image-feature-extraction
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tags:
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# CC12M-Camera
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Per-image **camera parameter** annotations for the **CC12M** (Conceptual 12M)
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dataset (~10.97M images across 2,176 shards; **10,902,847** valid annotations),
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predicted by the **Puffin** camera-centric multimodal model
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(Qwen2.5-7B + C-RADIOv3-H visual encoder).
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## Format
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Each JSON holds the predicted monocular camera parameters:
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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`
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|-------|------------------|-------------------|-----------------|
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| all (10.90M) | 0.2° / 0.0° / 5.7° | −2.8° / −0.3° / 11.8° | 32.3° / 29.0° / 10.6° |
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**
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upright/level (even tighter than ImageNet, σ ≈ 5.7°).
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- **Pitch** is centered close to 0° with a slight downward bias (median ≈ −0.3°,
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mean ≈ −2.8°) and a moderate spread.
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- **FoV** is concentrated in the **20–45°** range (median ≈ 29°), typical of
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everyday photography, with a long tail toward wide-angle.
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## Notes
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- Annotations are model predictions, not ground truth.
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- Generated with greedy decoding (deterministic) at 640px input.
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- Figure reproduces `scripts/annotation/stat_camera_captions.py` from the Puffin
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repo (read directly from the packed tars).
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---
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license: mit
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task_categories:
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- image-feature-extraction
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tags:
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# CC12M-Camera
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+

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Per-image **camera parameter** annotations for the **CC12M** (Conceptual 12M)
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dataset (~10.97M images across 2,176 shards; **10,902,847** valid annotations),
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predicted by the **Puffin** camera-centric multimodal model
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(Qwen2.5-7B + C-RADIOv3-H visual encoder).
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The collage above visualizes the predicted 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 (`0000.tar` … `2175.tar`), each containing one
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`.json` per image whose name matches the source image key (shard-local index).
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Source images: `pixparse/cc12m-wds` (same 2,176-shard layout / keys).
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Each JSON holds the predicted monocular camera parameters:
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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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|-------|------------------|-------------------|-----------------|
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| all (10.90M) | 0.2° / 0.0° / 5.7° | −2.8° / −0.3° / 11.8° | 32.3° / 29.0° / 10.6° |
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- **Roll** is sharply peaked at 0° (web images shot upright/level).
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- **Pitch** is centered close to 0° with a slight downward bias.
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- **FoV** concentrates in 20–45° (median ≈ 29°), with a long wide-angle tail.
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## Notes
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- Annotations are model predictions, not ground truth.
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- Generated with greedy decoding (deterministic) at 640px input.
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