MVTec D2S

홈페이지 · 논문 2편

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](/paper/mvtec-d2s-densely-segmented-supermarket) Image Source: https://www.mvtec.com/company/research/datasets/mvtec-d2s