jaddai/openbrush-landscapes

OpenBrush Landscapes

Every landscape painting from OpenBrush-75K — across all artists, movements, and centuries. Largest single-genre subset.

Curated subset of [jaddai/openbrush](https://huggingface.co/datasets/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 12,612 you actually want.

Why this subset

Every landscape across the parent dataset's full range — Romantic wildernesses, Impressionist plein-air, Hudson River School-era American vistas, Northern European countryside, Mediterranean coast, Russian winter, Japanese woodblock landscape. Evergreen LoRA training target.

Filter equivalent on parent: genre == "landscape"

Statistics

• —Total images: 12,612
• —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

Loading

from datasets import load_dataset

dataset = load_dataset("jaddai/openbrush-landscapes")
print(len(dataset["train"]))  # 12,612

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

<!-- OPENART-FAMILY:START -->

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-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-rembrandt — Rembrandt · 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. <!-- OPENART-FAMILY:END -->

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_landscapes,
  title={OpenBrush Landscapes},
  author={jaddai},
  year={2026},
  publisher={Hugging Face},
  url={https://huggingface.co/datasets/jaddai/openbrush-landscapes},
  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