Datasets › MVTec D2S
MVTec D2S (MVTec Densely Segmented Supermarket)
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.
Source: MVTec D2S: Densely Segmented Supermarket Dataset Image Source: https://www.mvtec.com/company/research/datasets/mvtec-d2s
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
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Variants archive 2025-07-28
- MVTec D2S
1 variant name, as the archive lists them.
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