外来入侵物种检测数据集VOC+YOLO格式5537张18类别

作品简介

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):5537

标注数量(xml文件个数):5537

标注数量(txt文件个数):5537

标注类别数:18

所在github仓库:firc-dataset

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):["baowenzhishennian","baxihongergui","caoditanyee","daoshuixiangjia","equeguan","fanqieqianyee","feizhoudawoniu","fushouluo","honghuoyi","hongzhidaxiaodu","hongzongxiangjia","malingshujiachong","meiguobaie","meizhoubanqianying","niegui","niuwang","pingguodue","qishiluofeiyu"]

对应中文类别:["豹纹脂身鲶", "巴西红耳龟", "草地贪夜蛾", "稻水象甲", "鳄雀鳝", "番茄潜叶蛾", "非洲大蜗牛", "福寿螺", "红火蚁", "红脂大小蠹", "红棕象甲", "马铃薯甲虫", "美国白蛾", "美洲斑潜蝇", "拟鳄龟", "牛蛙", "苹果蠹蛾", "齐氏罗非鱼"]

每个类别标注的框数和占有图片数:

baowenzhishennian 框数=44,占有图片数=41

baxihongergui 框数=430,占有图片数=377

caoditanyee 框数=427,占有图片数=415

daoshuixiangjia 框数=91,占有图片数=89

equeguan 框数=207,占有图片数=195

fanqieqianyee 框数=322,占有图片数=319

feizhoudawoniu 框数=634,占有图片数=539

fushouluo 框数=310,占有图片数=221

honghuoyi 框数=246,占有图片数=199

hongzhidaxiaodu 框数=72,占有图片数=72

hongzongxiangjia 框数=537,占有图片数=528

malingshujiachong 框数=721,占有图片数=643

meiguobaie 框数=279,占有图片数=256

meizhoubanqianying 框数=149,占有图片数=149

niegui 框数=450,占有图片数=445

niuwang 框数=93,占有图片数=91

pingguodue 框数=726,占有图片数=693

qishiluofeiyu 框数=293,占有图片数=265

总框数:6031

图片分辨率:多分辨率图片,如1024x1365,1024x768等

使用标注工具:labelImg

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权重文件精度作任何保证

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标注例子:




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