智慧医疗眼科白内障手术器具眼部要素识别分割数据集labelme格式6094张12类别

作品简介

数据集格式:labelme格式(不包含mask文件,仅仅包含jpg图片和对应的json文件)

图片数量(jpg文件个数):6094

标注数量(json文件个数):6094

标注类别数:12

标注类别名称:["chaoshengruhuashoubing","fuzhuqiekoudao","fuzhuqixie","jiaomo","jingtizhiruqi","nangmoqiekaidaomao","niezi","niezimao","taoguan","tongkong","zhuqiekoudao","zhuxishoubing"]

对应中文类别名:["超声乳化手柄", "辅助切口刀", "辅助器械", "角膜", "晶体植入器", "囊膜切开刀帽", "镊子", "镊子帽", "套管", "瞳孔", "主切口刀", "注吸手柄"]

每个类别标注的框数:

chaoshengruhuashoubing count = 885

fuzhuqiekoudao count = 111

fuzhuqixie count = 672

jiaomo count = 6093

jingtizhiruqi count = 719

nangmoqiekaidaomao count = 854

niezi count = 1969

niezimao count = 526

taoguan count = 1237

tongkong count = 6093

zhuqiekoudao count = 751

zhuxishoubing count = 923

总框数:20833

使用标注工具:labelme=5.5.0

所在github仓库:firc-dataset

图片分辨率:多分辨率图片,如720x480,1920x1080等

标注规则:对类别进行画多边形框polygon

重要说明:可以将数据集用labelme打开编辑,json数据集需自己转成mask或者yolo格式或者coco格式作语义分割或者实例分割

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:


labelme编辑图实例:



创作时间: