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)：2967

标注数量(xml文件个数)：2967

标注数量(txt文件个数)：2967

标注类别数：31

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):["Bangus","Big Head Carp","Black Spotted Barb","Catfish","Climbing Perch","Fourfinger Threadfish","Freshwater Eel","Glass Perchlet","Goby","Gold Fish","Gourami","Grass Carp","Green Spotted Puffer","Indian Carp","Indo-Pacific Tarpon","Jaguar Gapote","Janitor Fish","Knifefish","Long-Snouted Pipefish","Mosquito Fish","Mudfish","Mullet","Pangasius","Perch","Scat Fish","Silver Barb","Silver Carp","Silver Perch","Snakehead","Tenpounder","Tilapia"]

每个类别标注的框数：

Bangus 框数 = 81

Big Head Carp 框数 = 77

Black Spotted Barb 框数 = 76

Catfish 框数 = 84

Climbing Perch 框数 = 91

Fourfinger Threadfish 框数 = 55

Freshwater Eel 框数 = 77

Glass Perchlet 框数 = 89

Goby 框数 = 118

Gold Fish 框数 = 81

Gourami 框数 = 87

Grass Carp 框数 = 170

Green Spotted Puffer 框数 = 60

Indian Carp 框数 = 75

Indo-Pacific Tarpon 框数 = 86

Jaguar Gapote 框数 = 75

Janitor Fish 框数 = 88

Knifefish 框数 = 83

Long-Snouted Pipefish 框数 = 84

Mosquito Fish 框数 = 91

Mudfish 框数 = 55

Mullet 框数 = 86

Pangasius 框数 = 87

Perch 框数 = 81

Scat Fish 框数 = 67

Silver Barb 框数 = 98

Silver Carp 框数 = 74

Silver Perch 框数 = 80

Snakehead 框数 = 81

Tenpounder 框数 = 104

Tilapia 框数 = 1763

总框数：4304

使用标注工具：labelImg

标注规则：对类别进行画矩形框

重要说明：暂无

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，数据集只提供准确且合理标注

图片预览：

标注例子：