{"url":"/dataset/mls","name":"MLS","full_name":"Multiple Light Source","description_markdown":"The **Multiple Light Source** dataset (**MLS**) is a collection of 24 multiple object scenes each recorded under 18 multiple light source illumination scenarios. The illuminants are varying in dominant spectral colours, intensity and distance from the scene. The dataset can be used for the evaluation of computational colour constancy algorithms. Along with the images of the scenes the spectral characteristics of the camera, light sources and the objects are also provided, and each image includes pixel-by-pixel ground truth annotation of uniformly coloured object surfaces thus making this useful for benchmarking colour-based image segmentation algorithms.\n\nSource: [https://arxiv.org/abs/1908.06126](https://arxiv.org/abs/1908.06126)\nImage Source: [https://github.com/Visillect/mls-dataset](https://github.com/Visillect/mls-dataset)","description_withheld":null,"homepage":"https://github.com/Visillect/mls-dataset","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/multiple-light-source-dataset-for-colour","title":"Multiple Light Source Dataset for Colour Research","first_author":"Anna Smagina","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"}],"languages":[],"variants":["MLS"],"data_loaders":[{"repo":"https://github.com/Visillect/mls-dataset","url":"https://github.com/Visillect/mls-dataset","frameworks":[]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}