SegmentationUQ
收藏DataCite Commons2024-05-17 更新2024-07-13 收录
下载链接：
https://mediatum.ub.tum.de/1741760?v=1
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资源简介：
SegmentationUQ is a synthetic "error-free" benchmark dataset for semantic segmentation of building footprints and evaluation of uncertainty quantification methods. This proposed synthetic dataset not only contains labels of the building masks but also the reference aleatoric uncertainty given different noise level and noise type of the input images.
提供机构：
Technical University of Munich
创建时间：
2024-05-17
