OpenBrush Monet: Claude Monet Artworks with Structured VLM Captions

A curated subset of 1,334 Claude Monet artworks from the OpenBrush-75K collection. The images are paired with structured captions generated by the Qwen3-VL-30B-A3B vision-language model. This dataset was created by jaddai and last updated on May 27, 2026.

Use Cases

• Fine-tuning vision-language models based on detailed captions of art.
• Analyzing artistic style and composition in Monet's work based on the structured captions.
• Training models for art historical classification or retrieval based on the curated collection of Impressionist paintings.
• Studying the quality of VLM-generated captions for fine art based on the provided caption schema.

Strengths

• Contains 1,334 images, a curated subset focused on a single artist.
• Captions are generated by a specific, named VLM (Qwen3-VL-30B-A3B).
• Explicitly curated to include Monet's canonical works like haystacks, water lilies, and Rouen cathedrals.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known (1,334), but other scale metrics like file size and format are unknown.
• Data may reflect the stylistic and subject bias inherent to Claude Monet's body of work.

Provenance

Source

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

Collection Method

Subset selection and captioning using the Qwen3-VL-30B-A3B model.

Freshness

Last updated 2026-05-27 21:24:11; freshness should be verified.