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)：5998
标注数量(xml文件个数)：5998
标注数量(txt文件个数)：5998
标注类别数：58
标注类别名称:["0","1","2","3","4","5","6","7","8","9","10","11","12","13","14","15","16","17","18","19","20","21","22","23","24","25","26","27","28","29","30","31","32","33","34","35","36","37","38","39","40","41","42","43","44","45","46","47","48","49","50","51","52","53","54","55","56","57"]
每个类别标注的框数：
0 框数 = 132
1 框数 = 52
2 框数 = 104
3 框数 = 318
4 框数 = 156
5 框数 = 244
6 框数 = 108
7 框数 = 202
8 框数 = 22
9 框数 = 2
10 框数 = 130
11 框数 = 246
12 框数 = 118
13 框数 = 128
14 框数 = 140
15 框数 = 58
16 框数 = 218
17 框数 = 192
18 框数 = 8
19 框数 = 4
20 框数 = 20
21 框数 = 24
22 框数 = 26
23 框数 = 16
24 框数 = 112
25 框数 = 4
26 框数 = 260
27 框数 = 52
28 框数 = 514
29 框数 = 70
30 框数 = 184
31 框数 = 60
32 框数 = 16
33 框数 = 4
34 框数 = 30
35 框数 = 202
36 框数 = 44
37 框数 = 84
38 框数 = 70
39 框数 = 64
40 框数 = 40
41 框数 = 26
42 框数 = 50
43 框数 = 188
44 框数 = 54
45 框数 = 26
46 框数 = 32
47 框数 = 22
48 框数 = 16
49 框数 = 84
50 框数 = 76
51 框数 = 12
52 框数 = 50
53 框数 = 4
54 框数 = 500
55 框数 = 220
56 框数 = 150
57 框数 = 10
总框数：5998
使用标注工具：labelImg
标注规则：对类别进行画矩形框
重要说明：交通标志图片由于分辨率大部分在100x100左右导致文件整体很小，但是标注都很精确。由于标注太多没有具体在类别体现都是数字形式展示。
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

图片示例：

下载地址： 

https://download.csdn.net/download/FL1623863129/89078293