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)：300
标注数量(xml文件个数)：300
标注数量(txt文件个数)：300
标注类别数：12
标注类别名称:["black_bishop","black_king","black_knight","black_pawn","black_queen","black_rook","white_bishop","white_king","white_knight","white_pawn","white_queen","white_rook"]
每个类别标注的框数：
| 序号 | 类别名称 | 框数 |
|---|---|---|
| 1 | black_bishop | 25 |
| 2 | black_king | 25 |
| 3 | black_knight | 25 |
| 4 | black_pawn | 25 |
| 5 | black_queen | 25 |
| 6 | black_rook | 25 |
| 7 | white_bishop | 25 |
| 8 | white_king | 25 |
| 9 | white_knight | 25 |
| 10 | white_pawn | 25 |
| 11 | white_queen | 25 |
| 12 | white_rook | 25 |
| 总计 | 12 | 300 |
使用标注工具：labelImg
标注规则：对类别进行画矩形框
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
图片示例：
标注示例：
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