智慧交通-道路车道线检测数据集VOC+YOLO格式1783张44类别

作品简介

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数据集格式:Pascal VOC格式+YOLO格式(不包含分割路径的txt文件,仅仅包含jpg图片以及对应的VOC格式xml文件和yolo格式txt文件)

图片数量(jpg文件个数):1783

标注数量(xml文件个数):1783

标注数量(txt文件个数):1783

标注类别数:44

标注类别名称(注意yolo格式类别顺序不和这个对应,而以labels文件夹classes.txt为准):["BusLine","Busstopzone","CenterLine","Colorcone","ConstructionZone","Constructionleftmergearrow","CrossWalk","DotLine","LeftDirection","LeftMergeLine","LeftandRight","LeftandUturn","Leftmergearrow","NoLeftTurn","NoRightTurn","NoStraight","Nouturn","OppositeSideLeft","OppositeSideUturn","OppositeTriangle","PeopleSafetyZone","RightDirection","RightMergeLine","Rightmergearrow","Roaddiamond","SpeedLimit50","Speedlimit30","Speedlimit40","Speedlimit50","Speedlimit80","Speedlimit90","StopLine","StraightDirection","StraightLeftRight","StraightLine","StraightandLeft","StraightandRight","SuddenlyDotLine","TurnDirection","TurnDotLine","Uturn","bikeroad","speedlimit60","speedlimit70"]

每个类别标注的框数:

BusLine 框数 = 19

Busstopzone 框数 = 7

CenterLine 框数 = 380

Colorcone 框数 = 83

ConstructionZone 框数 = 6

Constructionleftmergearrow 框数 = 1

CrossWalk 框数 = 190

DotLine 框数 = 1287

LeftDirection 框数 = 283

LeftMergeLine 框数 = 258

LeftandRight 框数 = 3

LeftandUturn 框数 = 36

Leftmergearrow 框数 = 196

NoLeftTurn 框数 = 53

NoRightTurn 框数 = 36

NoStraight 框数 = 152

Nouturn 框数 = 20

OppositeSideLeft 框数 = 27

OppositeSideUturn 框数 = 13

OppositeTriangle 框数 = 97

PeopleSafetyZone 框数 = 259

RightDirection 框数 = 437

RightMergeLine 框数 = 146

Rightmergearrow 框数 = 59

Roaddiamond 框数 = 162

SpeedLimit50 框数 = 1

Speedlimit30 框数 = 77

Speedlimit40 框数 = 24

Speedlimit50 框数 = 39

Speedlimit80 框数 = 40

Speedlimit90 框数 = 9

StopLine 框数 = 188

StraightDirection 框数 = 900

StraightLeftRight 框数 = 1

StraightLine 框数 = 964

StraightandLeft 框数 = 120

StraightandRight 框数 = 141

SuddenlyDotLine 框数 = 18

TurnDirection 框数 = 11

TurnDotLine 框数 = 46

Uturn 框数 = 44

bikeroad 框数 = 7

speedlimit60 框数 = 21

speedlimit70 框数 = 17

总框数:6878

使用标注工具:labelImg

标注规则:对类别进行画矩形框

重要说明:暂无

特别声明:本数据集不对训练的模型或者权重文件精度作任何保证,数据集只提供准确且合理标注

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