{"url":"/dataset/mvtec-d2s","name":"MVTec D2S","full_name":"MVTec Densely Segmented Supermarket","description_markdown":"**MVTec D2S** is a benchmark for instance-aware semantic segmentation in an industrial domain. It contains 21,000 high-resolution images with pixel-wise labels of all object instances. The objects comprise groceries and everyday products from 60 categories. The benchmark is designed such that it resembles the real-world setting of an automatic checkout, inventory, or warehouse system. The training images only contain objects of a single class on a homogeneous background, while the validation and test sets are much more complex and diverse.\r\n\r\nSource: [MVTec D2S: Densely Segmented Supermarket Dataset](/paper/mvtec-d2s-densely-segmented-supermarket)\r\nImage Source: [https://www.mvtec.com/company/research/datasets/mvtec-d2s](https://www.mvtec.com/company/research/datasets/mvtec-d2s)","description_withheld":null,"homepage":"https://www.mvtec.com/company/research/datasets/mvtec-d2s","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/mvtec-d2s-densely-segmented-supermarket","title":"MVTec D2S: Densely Segmented Supermarket Dataset","first_author":"Patrick Follmann","url":null},"license":{"name":"CC BY-NC-SA 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Instance Segmentation","url":"/task/instance-segmentation","datasets_with_task":"/datasets/task/instance-segmentation"},{"name":"Data Augmentation","url":"/task/data-augmentation","datasets_with_task":"/datasets/task/data-augmentation"}],"languages":[],"variants":["MVTec D2S"],"data_loaders":[],"num_papers_in_archive":2,"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."}