室内家具等设施检测数据集4127张VOC+YOLO

数据集格式：Pascal VOC格式+YOLO格式(不包含分割路径的txt文件，仅仅包含jpg图片以及对应的VOC格式xml文件和yolo格式txt文件)

图片数量(jpg文件个数)：4127

标注数量(xml文件个数)：4127

标注数量(txt文件个数)：4127

标注类别数：27

所在github仓库：datasets_sl

标注类别名称(注意yolo格式类别顺序不和这个对应，而以labels文件夹classes.txt为准):["AC","Bathtub","Bed","Bed Frame","Closet","Cupboard","Desk","Dining Table","Dish Washer","Door","Exhaust Fan","Exhaust Hood","Faucet","Fridge","Microwave","Oven","Sink","Sofa","Stove","TV","Thermo Ventilator","Toilet","Toilet Sink","Washing Machine","Water Cubicle","Water Heater","Windowsill"]

中文标签："空调（AC）","浴缸","床","床架","衣橱","橱柜","书桌","餐桌","洗碗机","门","排气扇","抽油烟机","水龙头","冰箱","微波炉","烤箱","水槽","沙发","炉灶","电视","换气扇","马桶","洗手池","洗衣机","水间","热水器","窗台"

每个类别标注的框数：

AC 框数 = 479

Bathtub 框数 = 610

Bed 框数 = 196

Bed Frame 框数 = 96

Closet 框数 = 139

Cupboard 框数 = 2859

Desk 框数 = 35

Dining Table 框数 = 40

Dish Washer 框数 = 15

Door 框数 = 158

Exhaust Fan 框数 = 864

Exhaust Hood 框数 = 1281

Faucet 框数 = 1640

Fridge 框数 = 589

Microwave 框数 = 308

Oven 框数 = 458

Sink 框数 = 1424

Sofa 框数 = 39

Stove 框数 = 1547

TV 框数 = 18

Thermo Ventilator 框数 = 52

Toilet 框数 = 1509

Toilet Sink 框数 = 1383

Washing Machine 框数 = 438

Water Cubicle 框数 = 475

Water Heater 框数 = 400

Windowsill 框数 = 322

总框数：17374

每个类别占有图片数：

AC 占有图片数 = 464

Bathtub 占有图片数 = 600

Bed 占有图片数 = 196

Bed Frame 占有图片数 = 93

Closet 占有图片数 = 138

Cupboard 占有图片数 = 1533

Desk 占有图片数 = 35

Dining Table 占有图片数 = 37

Dish Washer 占有图片数 = 15

Door 占有图片数 = 155

Exhaust Fan 占有图片数 = 858

Exhaust Hood 占有图片数 = 1188

Faucet 占有图片数 = 1577

Fridge 占有图片数 = 548

Microwave 占有图片数 = 280

Oven 占有图片数 = 384

Sink 占有图片数 = 1313

Sofa 占有图片数 = 39

Stove 占有图片数 = 1371

TV 占有图片数 = 18

Thermo Ventilator 占有图片数 = 52

Toilet 占有图片数 = 1429

Toilet Sink 占有图片数 = 1350

Washing Machine 占有图片数 = 435

Water Cubicle 占有图片数 = 475

Water Heater 占有图片数 = 394

Windowsill 占有图片数 = 319

图片分辨率：640x640

使用标注工具：labelImg

数据集是否增强：是

标注规则：对类别进行画矩形框

重要说明：数据集没有划分训练验证测试集需自行划分

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

标注及图片情况如下：