| --- |
| configs: |
| - config_name: default |
| data_files: |
| - split: full |
| path: data/full-* |
| - split: curated_10 |
| path: data/curated_10-* |
| - split: thumbnail_3 |
| path: data/thumbnail_3-* |
| task_categories: |
| - image-to-image |
| pretty_name: Triangle Reconstruction Benchmark |
| size_categories: |
| - n<1K |
| --- |
| |
| # Triangle Reconstruction Benchmark |
|
|
| A small, diverse dataset curated manually from existing datasets and images found online, with item-level rights and provenance information. |
|
|
| The purpose of this dataset is to evaluate the quality of algorithms for approximating images using sets of coloured triangles, such as [Genetic Algorithms](https://www.rogeralsing.com/2008/12/07/genetic-programming-evolution-of-mona-lisa/) or greedy ones such as [Geometrize](https://www.geometrize.co.uk/). |
|
|
| ## Composition |
|
|
| The benchmark set consists of 75 images, all rendered and post-processed to RGB PNG with a 1024-pixel longest edge. Aspect ratio is preserved. Exact source files are retained under `originals/`. |
|
|
| Each image has a stable integer `index` from 1 to 75 for convenient reference (for example, “sample 23”), as well as a content-stable hexadecimal `id`. The same image retains its full-set index in every subset. |
|
|
| There are three sets: |
|
|
| - `full`: the entire 75-image collection, |
| - `curated_10`: a 10-image development subset useful when iterating on new algorithms, and |
| - `thumbnail_3`: three visually distinct headline images selected for thumbnails and quick comparisons. This includes the Mona Lisa, a target famously used by projects such as [EvoLisa](https://www.rogeralsing.com/2008/12/07/genetic-programming-evolution-of-mona-lisa/). |
|
|
| ## Rights and attribution |
|
|
| This dataset contains images from multiple sources. No new or collective license is asserted over the source images; each image remains subject to its original license or rights status. Source, rights, and attribution information is provided at the item level. Canonical images have been resized and/or rasterized for evaluation. |
|
|
| See `THIRD_PARTY_NOTICES.md`, `third_party_licenses/`, and the Parquet metadata columns. In particular, DIV2K is described by its publisher as academic-research-only, Kodak has no first-party license file in the acquired mirror, and logos may remain subject to trademark rights. |
|
|
| ## Loading |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("benchislett/TrianglePaintBench") |
| ``` |
|
|
| When working from a local clone, use `load_dataset("path/to/triangle_reconstruction_hf")` instead. |
|
|
| Integrity hashes for the original and canonical image files are in `checksums.sha256`. |
|
|
