数据集格式：YOLO关键点格式(注意这个不是目标检测或者分割的YOLO格式，仅仅包含jpg图片以及对应的yolo格式txt文件)

图片数量(jpg文件个数)：923

标注数量(txt文件个数)：923

训练集数量：823

验证集数量：100

测试集数量：0

标注类别数：1

标注类别名称:['COW']

标注的关键点数：25

关键点名称：["head","nose","eyeL","eyeR","earbaseL","earbaseR","neck","withers","midBack","midHooks","elbowFL","elbowFR","ribL","ribR","hookL","hookR","elbowBL","kneeBL","pawBL","elbowBR","kneeBR","pawBR","pinL","pinR","tailbase"]

每个类别标注的框数：

COW 框数=1585

总框数=1585

图片分辨率：1920x1080

所在github仓库：firc-dataset

重要说明：数据集已经划分好训练验证测试集可以直接用于yolov5-pose或者yolov8-pose或者yolov11-pose或者yolov26-pose训练

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

图片预览：

标注例子：

原图（随机选16张图）：

标注绘制结果：