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| license: cc-by-4.0 |
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| # Motif Segmentation in Paintings |
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| 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). |
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| ## Dataset Description |
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| 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] |
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| 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) |
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| ## Contents |
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| Each row corresponds to one painting and includes: |
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| - `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)` |
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| ## License |
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| 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. |
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