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：5626

Annotations文件夹中xml文件总计：5626

labels文件夹中txt文件总计：5626

标签种类数：15

标签名称:["Jaguar","Kangaroo","Lion","Tiger","cattle","deer","dog","giraffe","horse","monkey","panda","rabbit","sheep","wolf","zebra"]

每个标签的框数：

Jaguar 框数 = 149

Kangaroo 框数 = 471

Lion 框数 = 410

Tiger 框数 = 477

cattle 框数 = 1364

deer 框数 = 513

dog 框数 = 535

giraffe 框数 = 810

horse 框数 = 1029

monkey 框数 = 511

panda 框数 = 316

rabbit 框数 = 529

sheep 框数 = 2405

wolf 框数 = 419

zebra 框数 = 1118

总框数：11056

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

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