【目标检测】扑克牌数字及花色检测数据集10100张YOLO+VOC格式

作品简介

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








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