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
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标注例子:

数据集地址:download.csdn.net/download/2403_88102872/90086018