jaddai/openbrush-rembrandt

OpenBrush Rembrandt

All Rembrandt works from OpenBrush-75K — paintings, etchings, and sketches.

Curated subset of jaddai/openbrush. Same CC0 license, same caption schema, same VLM (Qwen3-VL-30B-A3B). This subset exists so you don't have to download 75,313 images to get to the 776 you actually want.

Why this subset

The defining body of work for Baroque chiaroscuro and dramatic light. Includes religious scenes, portraits, self-portraits, and biblical narratives. Useful for any model that needs to learn the 'Rembrandt look' — single-source directional lighting, deep shadows, warm earth-tone palettes.

Filter equivalent on parent: artist == "Rembrandt"

Statistics

• Total images: 776
• Source: OpenBrush-75K v1.1 (filtered)
• License: CC0 1.0
• Caption schema: v2 structured (TAGS / SUBJECT / ACTION / SETTING / MOOD / STYLE / LIGHTING / COLOR / COMPOSITION)

Caption schema

Same as the parent. Each row has caption_full plus 9 individual fields:

**TAGS:** comma-separated standardized descriptive tags
**SUBJECT:** Description of the main subject
**ACTION:** Movement, gesture, what is happening
**SETTING:** Environment and context
**MOOD:** Emotional tone and atmosphere
**STYLE:** Artistic technique and stylistic analysis
**LIGHTING:** Direction, quality, temperature
**COLOR:** Palette and color relationships
**COMPOSITION:** Framing, balance, focal points

Schema

Field	Type	Description
id	string	Unique identifier
image	Image	The artwork (PNG bytes)
width	int	Image width in pixels
height	int	Image height in pixels
artist	string	Artist name
style	string	Art movement/style
genre	string	Genre
tags	list[string]	Standardized descriptive tags
subject, action, setting, mood, style_description, lighting, color, composition	string	Per-aspect caption fields
caption_full	string	Full structured caption
source_file	string	Original filename

Loading

from datasets import load_dataset

dataset = load_dataset("jaddai/openbrush-rembrandt")
print(len(dataset["train"]))  # 776

example = dataset["train"][0]
print(example["caption_full"])

Relationship to the parent dataset

This is a filtered slice of jaddai/openbrush v1.1. All images, captions, and metadata are identical to those in the parent — no recaptioning or modification.

If you want the complete OpenBrush corpus (75,313 paintings), use the parent. If you want just this slice, use this subset to save bandwidth and disk.

Sibling subsets

• openbrush-van-gogh
• openbrush-monet
• openbrush-renoir
• openbrush-rembrandt
• openbrush-impressionism
• openbrush-renaissance
• openbrush-ukiyo-e
• openbrush-baroque
• openbrush-landscapes
• openbrush-portraits
• openbrush-religious-art
• openbrush-anonymous-masters
• openbrush-impressionist-landscapes

Related datasets

Part of the OpenArt family of open, public-domain art datasets — the whole family is CC0-1.0 (public-domain dedication, no rights reserved; citation appreciated, not required). License shown beside each name for clarity.

OpenBrush — 2-D fine art (paintings, prints, drawings), WikiArt-sourced (curated public domain), CC0:

• openbrush — flagship — 75,313 public-domain paintings · CC0
• openbrush-anonymous-masters — unattributed old masters · CC0
• openbrush-impressionism — Impressionist movement · CC0
• openbrush-landscapes — landscape genre · CC0
• openbrush-portraits — portrait genre · CC0
• openbrush-religious-art — religious / biblical · CC0
• openbrush-renaissance — Renaissance period · CC0
• openbrush-baroque — Baroque period · CC0
• openbrush-impressionist-landscapes — Impressionist landscapes (cross-cut) · CC0
• openbrush-van-gogh — Vincent van Gogh · CC0
• openbrush-ukiyo-e — Japanese woodblock prints · CC0
• openbrush-monet — Claude Monet · CC0
• openbrush-renoir — Pierre-Auguste Renoir · CC0

OpenArt — mixed-medium subject collections (paintings + photographed objects), museum/library-sourced, CC0:

• openart-animals — animals & the natural world · CC0
• openart-items-artifacts — human-made objects & decorative arts · CC0
• openart-mythic-creatures — mythological & fantastical beings · CC0
• openart-painterly-foundations — painting-forward fine-art core · CC0
• openart-portraits-classical — the human figure & portraiture · CC0

Feedback & collaboration

I'm always open to feedback and to suggestions for other datasets worth publishing — open a discussion on this repo or reach out on the Hub. I'm also open to collaborations with others in the community.

License

CC0 1.0 (public-domain dedication). Underlying artworks are public domain (all artists died before 1954); the structured captions are released under CC0. No rights reserved — citation appreciated but not required.

Citation

@dataset{openbrush_openbrush_rembrandt,
  title={OpenBrush Rembrandt},
  author={jaddai},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/jaddai/openbrush-rembrandt},
  note={Curated subset of jaddai/openbrush}
}

Acknowledgments

• Original artwork images derived from public domain art collections
• Captions generated using Qwen3-VL-30B-A3B
• Tag standardization assisted by LLM-based semantic mapping