Global Urban Network SVI Data

This data set contains street view segmentation indices for 50 global cities. We employ Meta's Mask2Former approach (Cheng, 2022) for image segmentation. 
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We obtain SVI from Mapillary which is the world's largest platform for free and open street view imagery (SVI). Till date, Mapillary's coverage has penetrated most global cities around the world.
Compared to other proprietary options such as Google Street View, Mapillary images are hosted on a CC-BY-SA 4.0 licence, which allows users to freely share, use, and adapt images.
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Images are subsampled proportionately based on geographic tiling of each city's administrative boundary and filtered to remove non-frontal facing and non-daylight images.
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本数据集包含全球50座城市的街景分割指数（street view segmentation indices）。我们采用Meta的掩码2Former（Mask2Former）方法（Cheng, 2022）完成图像分割任务。
我们从Mapillary获取街景图像（street view imagery，以下简称SVI），该平台是全球规模最大的免费开放街景图像服务平台。截至目前，Mapillary的覆盖范围已遍及全球绝大多数城市。相较于谷歌街景（Google Street View）等专有图像服务平台，Mapillary的图像采用CC-BY-SA 4.0许可协议，允许用户自由分享、使用及改编图像。
我们依据各城市行政边界的地理分块进行比例抽样，并过滤掉非正面视角及非日间拍摄的图像。

搜集汇总

背景与挑战

背景概述

该数据集提供了全球50个城市的街景分割指数数据，采用Meta的Mask2Former方法进行图像分割，数据来源于Mapillary平台，并遵循CC-BY-SA 4.0许可协议。