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license: cc-by-4.0
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# Motif Segmentation in Paintings

Segmentation masks and metadata for trees detected in a corpus of paintings, produced with SAM3 as part of research in the golden matrix project at the Center for Humanities Computing Aarhus (chcaa).

## Dataset Description

This dataset supports a studies of landscape and tree motifs in 19th-century Northern European paintings. It covers 4,727 paintings drawn from museum and Wikidata sources, with tree instances detected using [SAM3]

For each detected tree, the dataset records a bounding box, a confidence score, and a segmentation mask, alongside painting-level metadata (artist, nationality, date, collection)

## Contents

Each row corresponds to one painting and includes:

- `filename`, `image` — original image filename and raw image bytes
- `title`, `artist`, `Artist-nationality`, `inception`, `collection`, `location`, `inventory_number`, `qid`, `wikidata_url`, `image_url_raw`, `image_filename` — painting metadata
- `Image-rights` — rights/licensing information for the original image, as recorded per painting
- `original_height`, `original_width` — original image dimensions
- `boxes`, `scores`, `count` — detected tree bounding boxes, confidence scores, and count
- `embedding` — image embedding vector
- `mask` — raw bytes of an `.npz` file; load with `np.load(io.BytesIO(row["mask"]))["masks"]` to get a boolean array of shape `(count, 1, H, W)`

## License

This dataset (masks, metadata, embeddings, and annotations produced by the chcaa team (Rie Schmidt Eriksen, Louise Brix Hansen & Marta Kipke)) is released under [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/). Please credit authors when reusing this data.