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)1521标注数量(json文件个数)1521标注类别数31标注类别名称:[acute_brain_stem_hemorrhage,acute_cerebellarhemorrhage,acute_extradural_hematoma,acute_hemorrhage,acute_intracerbral_hemorrhage,acute_intraventricular_hemorrhage,acute_pontine_hemorrhage,acute_subarachnoid_hemorrhage,acute_subdural_hemorrhage,acutesubarachnoid_hemorrhage,avm,brain_abscess,brain_edema,brain_edema_for_assessment,brain_stem_hemorrhage,chronic_subdural_hemorrhage,craniopharyngioma,cyst,extraaxial_acute_hemorrhage,extraaxial_hemorrhage,fresh_blood,intracerebral_hemorrhage,intraventricular_hemorrhage,meningioma,pineal_mass,posterior_fossa_mass,space_occupying_lesion_for_assessment,subacute_intraventricular_hemorrhage,subacute_subdural_hemorrhage,subarachnoid_hemorrhage,subdural_hemorrhage]每个类别标注的框数acute_brain_stem_hemorrhage急性脑干出血 count 1acute_cerebellar_hemorrhage急性小脑出血 count 1acute_extradural_hematoma急性硬膜外血肿 count 30acute_hemorrhage急性出血 count 5acute_intracerebral_hemorrhage急性脑内出血 count 274acute_intraventricular_hemorrhage急性脑室内出血 count 390acute_pontine_hemorrhage急性桥脑出血 count 94acute_subarachnoid_hemorrhage急性蛛网膜下腔出血 count 56acute_subdural_hemorrhage急性硬膜下出血 count 22acute_subarachnoid_hemorrhage急性蛛网膜下腔出血拼写变体 count 4avm动静脉畸形 count 76brain_abscess脑脓肿 count 9brain_edema脑水肿 count 54brain_edema_for_assessment脑水肿待评估 count 79brain_stem_hemorrhage脑干出血 count 2chronic_subdural_hemorrhage慢性硬膜下出血 count 4craniopharyngioma颅咽管瘤 count 53cyst囊肿 count 143extraaxial_acute_hemorrhage轴外急性出血 count 3extraaxial_hemorrhage轴外出血 count 21fresh_blood新鲜血液 count 11intracerebral_hemorrhage脑内出血 count 14intraventricular_hemorrhage脑室内出血 count 48meningioma脑膜瘤 count 228pineal_mass松果体区占位 count 69posterior_fossa_mass后颅窝占位 count 22space_occupying_lesion_for_assessment占位性病变待评估 count 191subacute_intraventricular_hemorrhage亚急性脑室内出血 count 18subacute_subdural_hemorrhage亚急性硬膜下出血 count 65subarachnoid_hemorrhage蛛网膜下腔出血 count 8subdural_hemorrhage硬膜下出血 count 2总框数1997使用标注工具labelme5.5.0所在github仓库firc-dataset图片分辨率640x640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