扑克牌识别目标检测数据集VOC+YOLO格式2w张52类别

作品简介

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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):20000

标注数量(xml文件个数):20000

标注数量(txt文件个数):20000

标注类别数:52

标注类别名称:["Qs","Ad","Ah","10d","Jh","Jd","9d","2s","3h","8s","4h","7c","Ks","6s","4d","4c","8d","6c","9s","As","Ac","5c","3d","7s","Qh","5s","8h","8c","Js","7h","9c","3s","5h","Kh","2h","5d","2c","3c","9h","6d","Qd","6h","2d","10s","Kc","10c","Qc","10h","Jc","4s","7d","Kd"]

每个类别标注的框数:

2c 框数 = 1496

2d 框数 = 1488

2h 框数 = 1496

2s 框数 = 1407

3c 框数 = 1497

3d 框数 = 1366

3h 框数 = 1580

3s 框数 = 1588

4c 框数 = 1403

4d 框数 = 1418

4h 框数 = 1557

4s 框数 = 1435

5c 框数 = 1384

5d 框数 = 1457

5h 框数 = 1461

5s 框数 = 1453

6c 框数 = 1418

6d 框数 = 1492

6h 框数 = 1470

6s 框数 = 1455

7c 框数 = 1459

7d 框数 = 1550

7h 框数 = 1448

7s 框数 = 1417

8c 框数 = 1437

8d 框数 = 1562

8h 框数 = 1399

8s 框数 = 1460

9c 框数 = 1398

9d 框数 = 1383

9h 框数 = 1428

9s 框数 = 1420

10c 框数 = 1405

10d 框数 = 1459

10h 框数 = 1476

10s 框数 = 1433

Ac 框数 = 1485

Ad 框数 = 1455

Ah 框数 = 1469

As 框数 = 1518

Jc 框数 = 1432

Jd 框数 = 1490

Jh 框数 = 1403

Js 框数 = 1441

Kc 框数 = 1468

Kd 框数 = 1432

Kh 框数 = 1497

Ks 框数 = 1445

Qc 框数 = 1358

Qd 框数 = 1494

Qh 框数 = 1478

Qs 框数 = 1430

总框数:75750

使用标注工具:labelImg

标注规则:对类别进行画矩形框,只标注扑克牌左上角和右下角数字和花色

重要说明:暂无

图片分辨率:416x416

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(随机抽16张图片展示):




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