Brooklyn
收藏OpenXLab2026-04-18 收录
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资源简介：
Brooklyn is a dataset for cross-view semantic segmentation, comprising 7,600 images in the training set and 1,900 images in the validation set. The Brooklyn dataset includes satellite images and street-view images with depth map , both of which are well center-aligned. It supports fine-grained building attribute semantic segmentation (land use) and floor recognition (floor) tasks. This paper has been accepted by CVPR 2024.
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CVeRS创建时间：
2024-06-03
