【目标检测】国际象棋棋子类型检测数据集6535张YOLO+VOC格式
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:6535
Annotations文件夹中xml文件总计:6535
labels文件夹中txt文件总计:6535
标签种类数:12
标签名称:["black-bishop","black-king","black-knight","black-pawn","black-queen","black-rook","white-bishop","white-king","white-knight","white-pawn","white-queen","white-rook"]
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):
black-bishop 框数 = 6667
black-king 框数 = 4962
black-knight 框数 = 5841
black-pawn 框数 = 17059
black-queen 框数 = 4298
black-rook 框数 = 6427
white-bishop 框数 = 6562
white-king 框数 = 5349
white-knight 框数 = 6352
white-pawn 框数 = 12384
white-queen 框数 = 5121
white-rook 框数 = 5249
总框数:86271
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
数据集类型:119m
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

