扑克牌识别目标检测数据集VOC+YOLO格式2w张52类别.zip

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 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