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58 Street View Images with Semantic Segmentation of All Classes_Autonomous Driving Data Solution_Datatang_58 Street View Images with Semantic Segmentation of All Classes

58 Street View Images with Semantic Segmentation of All Classes

  • 58 images, 5,869 polygon boxes
  • camera mounted on the roof of car
Sample

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58 Street View Images with Semantic Segmentation of All Classes_Autonomous Driving Data Solution_Datatang 58 Street View Images with Semantic Segmentation of All Classes_Autonomous Driving Data Solution_Datatang

Data Introduction

58 Street View Images with Semantic Segmentation of All Classes . This dataset was collected in urban roads and rural roads in China.The dataset diversity includes multiple scenes and different time periods. In terms of data annotation, 6 object types were annotated by polygon boxes. This dataset can be used for tasks related to automatic driving.

Data Specification

Data size
58 images, 5,869 polygon boxes
Collecting environment
including outdoor scenes (Chinese urban roads, rural roads, etc.)
Data diversity
multiple scenes, different time periods
Device
camera mounted on the roof of car
Data format
the image data format is jpg, the annotation file format is json
Collecting content
collecting street view images from different scenes
Annotation content
polygon boxes annotation of 6 object types in the street view images
Accuracy
The annotation accuracy of polygon boxes is over 95%;The annotation accuracy of attributes of polygon boxes is over 95%

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Data Features

58 Street View Images with Semantic Segmentation of All Classes

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58 Street View Images with Semantic Segmentation of All Classes_Autonomous Driving Data Solution_Datatang