| ---
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| license: other
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| license_name: mixed-source-see-below
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| task_categories:
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| - text-to-image
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| - image-to-image
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| tags:
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| - controlnet
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| - pose-estimation
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| - diffusion
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| - openpose
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| pretty_name: Pose-ControlNet Training Data (COCO + Danbooru)
|
| ---
|
|
|
| # Pose-ControlNet Training Data (COCO + Danbooru subset)
|
|
|
| Paired (image, 18-point OpenPose-style pose skeleton, caption) triples for training a
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| pose-conditioned ControlNet, built as channel-concatenated conditioning alongside the
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| noisy latent (same mechanism as depth-conditioned ControlNets).
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|
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| This is the **public subset** of a larger dataset — it excludes a Human-Art-derived
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| portion (real_human / sculpture / painting) that is kept local-only per that dataset's
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| non-commercial, no-redistribution license.
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|
|
| ## Contents
|
|
|
| | Column | Description |
|
| |---|---|
|
| | `file_name` | The source RGB image (photograph or anime illustration) |
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| | `conditioning_image` | The paired pose skeleton map — same resolution/alignment as `file_name`, 18-point body-only OpenPose-style rendering, no hands or face |
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| | `text` | A caption describing appearance, clothing, setting, color, lighting, and camera technique. Captions **deliberately exclude all body-position/pose language** — pose information is carried entirely by `conditioning_image`, not the text |
|
|
|
| ## Sources and licensing
|
|
|
| - **COCO-WholeBody** (photoreal subset): images from the COCO dataset (Flickr-sourced, subject to COCO's own terms), pose annotations sourced from COCO-WholeBody, whose annotations are licensed for **research and non-commercial use only** (SenseTime Research) — separate from the images' own licensing.
|
| - **Danbooru** (anime subset): community-sourced illustrations pulled via the public Danbooru API. Rating-filtered to `general`+`sensitive` only (`questionable`/`explicit` excluded). An additional tag-based filter was applied to exclude any content coded as depicting minors, independent of the official content rating.
|
|
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| Given the mixed and partially non-commercial licensing of the source annotations, **this dataset is provided for research purposes**; check the original source licenses before any commercial use.
|
|
|
| ## Pose skeleton schema
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|
|
| 18-point body-only OpenPose-style skeleton (COCO-17/MPII-16 remapped to a unified schema
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| where applicable; DWPose used for Danbooru). Hands and face are deliberately excluded —
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| hand-keypoint detection proved unreliable on stylized art, and standardizing to body-only
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| kept the schema consistent across all sources.
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|
|
| ## Captioning methodology
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|
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| Captions were generated via Gemini 3.5 Flash-Lite (Google), following a fixed prompt
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| enforcing:
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| - Medium-first opening (e.g. "A photograph of...", "An anime illustration depicts...")
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| - Verbatim transcription of any legible text/signage in the image
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| - Zero pose, posture, gesture, or body-position language of any kind
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| - No camera framing that implies body-crop extent (e.g. "close-up", "waist up")
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| - 1-3 trailing style/technique tags
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| - 60-124 word range
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|
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| Manually reviewed at multiple sample checkpoints throughout generation; a small residual
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| rate of incidental pose-adjacent language (~1-1.5%) may remain despite the filter, tracked
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| via automated post-hoc checks.
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|
|
| ## Content notes
|
|
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| - Danbooru content was rating-filtered and additionally tag-filtered for apparent-minor
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| content before inclusion; any content flagged by the generation model as prohibited was
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| excluded from the dataset rather than force-captioned.
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| - This is training data for a pose-conditioning model, not a curated art collection —
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| quality and content vary by source. |
