{"url":"/dataset/cube","name":"Cube++","full_name":null,"description_markdown":"**Cube++** is a novel dataset for the color constancy problem that continues on the Cube+ dataset. It includes 4890 images of different scenes under various conditions. For calculating the ground truth illumination, a calibration object with known surface colors was placed in every scene.\n\nSource: [https://github.com/Visillect/CubePlusPlus](https://github.com/Visillect/CubePlusPlus)\nImage Source: [https://github.com/Visillect/CubePlusPlus](https://github.com/Visillect/CubePlusPlus)","description_withheld":null,"homepage":"https://github.com/Visillect/CubePlusPlus","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/the-cube-illumination-estimation-dataset","title":"The Cube++ Illumination Estimation Dataset","first_author":"Egor Ershov","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"3D Object Recognition","url":"/task/3d-object-recognition","datasets_with_task":"/datasets/task/3d-object-recognition"},{"name":"Color Constancy","url":"/task/color-constancy","datasets_with_task":"/datasets/task/color-constancy"}],"languages":[],"variants":["Cube Engraving","Cube++"],"data_loaders":[{"repo":"https://github.com/Visillect/CubePlusPlus","url":"https://github.com/Visillect/CubePlusPlus","frameworks":[]}],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-object-recognition-on-cube-engraving","task":"3D Object Recognition","dataset_variant":"Cube Engraving","rows":1,"metrics":["Accuracy"],"first_row_in_archive_order":{"model":"MeshWalker (ours)","paper":"/paper/meshwalker-deep-mesh-understanding-by-random","metrics":{"Accuracy":"98.6"},"code_links":[{"title":"AlonLahav/MeshWalker","url":"https://github.com/AlonLahav/MeshWalker"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/meshwalker-deep-mesh-understanding-by-random","title":"MeshWalker: Deep Mesh Understanding by Random Walks","date":"2020-06-09","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}