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)：159

标注数量(txt文件个数)：159

训练集数量：120

验证集数量：26

测试集数量：13

标注类别数：1

标注类别名称:['cat']

标注的关键点数：31

keypoints=["Right-Base-Right-Ear","Right-Mid-Right-Ear","Tip-Right-Ear","Left-Mid-Right-Ear","Left-Base-Right-Ear","Back-Right-Ear","Back-Left-Ear","Right-Base-Left-Ear","Right-Mid-Left-Ear","Tip-Left-Ear","Left-Mid-Left-Ear","Left-Base-Left-Ear","Lateral-Right-Eye","Medial-Right-Eye","Top-Right-Eye","Bottom-Right-Eye","Medial-Left-Eye","Lateral-Left-Eye","Top-Left-Eye","Bottom-Left-Eye","Top-Right-Muzzle","Top-Left-Muzzle","Top-Muzzle","Bottom-Muzzle","Lateral-Right-Muzzle","Lateral-Left-Muzzle","Bottom-Right-Muzzle","Bottom-Left-Muzzle","Top-Head","Nose","Chin"]

每个类别标注的框数：

cat 框数=159

总框数=159

图片分辨率：640x640

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：