OpenBrush Rembrandt: 776 Artworks with AI-Generated Captions

OpenBrush Rembrandt is a curated subset of 776 images of Rembrandt's works from the larger OpenBrush-75K collection. The dataset includes paintings, etchings, and sketches, all with AI-generated captions. It was created by jaddai and last updated on Hugging Face in May 2026.

Use Cases

• Training or fine-tuning vision-language models based on captioned images of classical art.
• Studying artistic style and composition in Baroque art, specifically Rembrandt's use of chiaroscuro.
• Developing educational tools for art history using a focused collection of a single artist's work.
• Benchmarking image retrieval or classification models on a domain-specific art dataset.

Strengths

• Contains 776 curated images, a focused subset from a larger 75,313-image collection.
• Includes a variety of Rembrandt's work types: paintings, etchings, and sketches.
• Uses a consistent captioning schema generated by a specific VLM (Qwen3-VL-30B-A3B).
• Released under a CC0 license, which allows for broad reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known (776), but other scale metrics like file size and formats are unknown.
• Data may reflect curation bias inherent to the source platform and the original OpenBrush-75K collection.

Provenance

Source

Curated from the jaddai/openbrush-75k dataset on Hugging Face.

Collection Method

Subset selection from a larger collection of AI-captioned art images.

Freshness

Last updated 2026-05-27 21:24:12; freshness should be verified.