数据集格式:VOC格式+YOLO格式
压缩包内含:3个文件夹,分别存储图片、xml、txt文件
JPEGImages文件夹中jpg图片总计:10100
Annotations文件夹中xml文件总计:10100
labels文件夹中txt文件总计:10100
标签种类数:52
标签名称:["2C","2D","2H","2S","3C","3D","3H","3S","4C","4D","4H","4S","5C","5D","5H","5S","6C","6D","6H","6S","7C","7D","7H","7S","8C","8D","8H","8S","9C","9D","9H","9S","10C","10D","10H","10S","AC","AD","AH","AS","JC","JD","JH","JS","KC","KD","KH","KS","QC","QD","QH","QS"]
每个标签的框数(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):
2C 框数 = 765
2D 框数 = 765
2H 框数 = 774
2S 框数 = 762
3C 框数 = 815
3D 框数 = 730
3H 框数 = 772
3S 框数 = 777
4C 框数 = 821
4D 框数 = 807
4H 框数 = 808
4S 框数 = 745
5C 框数 = 854
5D 框数 = 812
5H 框数 = 733
5S 框数 = 794
6C 框数 = 746
6D 框数 = 780
6H 框数 = 712
6S 框数 = 759
7C 框数 = 731
7D 框数 = 773
7H 框数 = 794
7S 框数 = 803
8C 框数 = 741
8D 框数 = 813
8H 框数 = 800
8S 框数 = 752
9C 框数 = 730
9D 框数 = 774
9H 框数 = 797
9S 框数 = 750
10C 框数 = 782
10D 框数 = 760
10H 框数 = 767
10S 框数 = 805
AC 框数 = 801
AD 框数 = 800
AH 框数 = 759
AS 框数 = 792
JC 框数 = 793
JD 框数 = 718
JH 框数 = 715
JS 框数 = 760
KC 框数 = 808
KD 框数 = 782
KH 框数 = 786
KS 框数 = 756
QC 框数 = 780
QD 框数 = 830
QH 框数 = 786
QS 框数 = 831
总框数:40400
图片清晰度(分辨率:像素):清晰
图片是否增强:否
标签形状:矩形框,用于目标检测识别
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

