无人机视角树冠识别分割数据集labelme格式1288张59类别

作品简介

注意class1是很多小树冠,class数字表示不同树木树冠,由于种类太多无法清除具体什么树木树冠。简单起见可以把class数字改成一个类别名叫树冠就行,这里标注时候细分了。

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):1288

标注数量(json文件个数):1288

标注类别数:59

标注类别名称:["class_1","class_11","class_3","class_28","class_15","class_18","class_7","class_5","class_12","class_24","class_38","class_4","class_55","class_51","class_53","class_52","class_57","class_50","class_56","class_44","class_58","class_32","class_34","class_49","class_46","class_29","class_43","class_8","class_48","class_20","class_40","class_45","class_23","class_39","class_42","class_6","class_14","class_22","class_37","class_26","class_16","class_35","class_17","class_2","tree","class_33","class_9","class_31","class_13","class_19","class_27","class_25","class_41","class_30","class_36","class_10","class_47","class_21","class_54"]

每个类别标注的框数:

class_1 count = 1724

class_11 count = 263

class_3 count = 184

class_28 count = 381

class_15 count = 1347

class_18 count = 498

class_7 count = 729

class_5 count = 194

class_12 count = 262

class_24 count = 102

class_38 count = 267

class_4 count = 541

class_55 count = 1500

class_51 count = 2372

class_53 count = 4555

class_52 count = 6213

class_57 count = 189

class_50 count = 1558

class_56 count = 1273

class_44 count = 790

class_58 count = 354

class_32 count = 1478

class_34 count = 246

class_49 count = 501

class_46 count = 245

class_29 count = 669

class_43 count = 168

class_8 count = 785

class_48 count = 65

class_20 count = 378

class_40 count = 214

class_45 count = 94

class_23 count = 342

class_39 count = 79

class_42 count = 292

class_6 count = 148

class_14 count = 141

class_22 count = 817

class_37 count = 159

class_26 count = 104

class_16 count = 416

class_35 count = 159

class_17 count = 53

class_2 count = 683

tree count = 7850

class_33 count = 50

class_9 count = 19

class_31 count = 313

class_13 count = 158

class_19 count = 107

class_27 count = 250

class_25 count = 160

class_41 count = 223

class_30 count = 161

class_36 count = 457

class_10 count = 33

class_47 count = 160

class_21 count = 73

class_54 count = 66

总框数:43612

使用标注工具:labelme=5.5.0

所在github仓库:firc-dataset

图片分辨率:1920x1279

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: