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)：4023

标注数量(xml文件个数)：4023

标注数量(txt文件个数)：4023

标注类别数：27

标注类别名称:["Bicycle Lane","Bus Lane","Crossing","DoNot Honk","Forward Arrow","Forward Arrow -Left","Forward Arrow -Right","Keep Right","Left Arrow","Line","Median","No Stopping","Parking-Line","Pedestrian Crossing","Reflector Traffic Delineator Post","Right Arrow","SchAhead","School","Slow","Speed Limit 40","Speed Limit 50","Speed Limit 60","Speed Limit 80","Traffic Channelizer Drum","Traffic Cone","Traffic Light","Yellow Marking"]

每个类别标注的框数：

Bicycle Lane 框数 = 146

Bus Lane 框数 = 244

Crossing 框数 = 1113

DoNot Honk 框数 = 191

Forward Arrow 框数 = 1700

Forward Arrow -Left 框数 = 261

Forward Arrow -Right 框数 = 103

Keep Right 框数 = 215

Left Arrow 框数 = 218

Line 框数 = 9544

Median 框数 = 460

No Stopping 框数 = 389

Parking-Line 框数 = 124

Pedestrian Crossing 框数 = 162

Reflector Traffic Delineator Post 框数 = 821

Right Arrow 框数 = 393

SchAhead 框数 = 19

School 框数 = 99

Slow 框数 = 134

Speed Limit 40 框数 = 184

Speed Limit 50 框数 = 123

Speed Limit 60 框数 = 101

Speed Limit 80 框数 = 110

Traffic Channelizer Drum 框数 = 316

Traffic Cone 框数 = 911

Traffic Light 框数 = 757

Yellow Marking 框数 = 189

总框数：19027

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

图片预览：

标注例子：