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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)：2412

标注数量(xml文件个数)：2412

标注数量(txt文件个数)：2412

标注类别数：20

标注类别名称:["alder","angelica","angelica_garden","birch","buckwheat","clover","fireweed","grass","hazel","hill_mustard","linden","maple","meadow_pink","mugwort","nettle","pigweed","pine","plantain","sorrel","willow"]

每个类别标注的框数：

alder 框数 = 470

angelica 框数 = 472

angelica_garden 框数 = 354

birch 框数 = 666

buckwheat 框数 = 213

clover 框数 = 320

fireweed 框数 = 366

grass 框数 = 213

hazel 框数 = 77

hill_mustard 框数 = 660

linden 框数 = 339

maple 框数 = 1159

meadow_pink 框数 = 235

mugwort 框数 = 118

nettle 框数 = 231

pigweed 框数 = 317

pine 框数 = 230

plantain 框数 = 217

sorrel 框数 = 271

willow 框数 = 816

总框数：7744

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

图片预览：

​编辑

标注例子：

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