数据集1/3是原图剩余为增强

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)：1114

标注数量(xml文件个数)：1114

标注数量(txt文件个数)：1114

标注类别数：36

标注类别名称:["bj","bj_bpmh","bj_bpps","bmwh","bmyw","byq","byq_bt","byq_dzx","byq_hxq","byq_jgx","byq_lqq","byq_tg","byq_yz","dlq_czx","drq_bt","gjptwss","hgq_bt","hxq_gjbs","hxq_gjzc","hxq_yfps","jsxs","jsxs-","jyz","jyz_pl","jyz_zc","mcqdmsh","shadow","sly_bjbmyw","sly_bjbyw","sly_dmyw","wcaqm","xhzz","xmbhyc","xmbhzc","yw_gkxfw","ywzt_yfyc"]

每个类别标注的框数：

bj 框数 = 22

bj_bpmh 框数 = 47

bj_bpps 框数 = 3

bmwh 框数 = 22

bmyw 框数 = 3

byq 框数 = 2

byq_bt 框数 = 16

byq_dzx 框数 = 15

byq_hxq 框数 = 28

byq_jgx 框数 = 7

byq_lqq 框数 = 66

byq_tg 框数 = 23

byq_yz 框数 = 7

dlq_czx 框数 = 1

drq_bt 框数 = 30

gjptwss 框数 = 11

hgq_bt 框数 = 3

hxq_gjbs 框数 = 115

hxq_gjzc 框数 = 13

hxq_yfps 框数 = 1

jsxs 框数 = 519

jsxs- 框数 = 3

jyz 框数 = 23

jyz_pl 框数 = 3

jyz_zc 框数 = 32

mcqdmsh 框数 = 3

shadow 框数 = 280

sly_bjbmyw 框数 = 513

sly_bjbyw 框数 = 3

sly_dmyw 框数 = 1503

wcaqm 框数 = 3

xhzz 框数 = 1

xmbhyc 框数 = 12

xmbhzc 框数 = 30

yw_gkxfw 框数 = 10

ywzt_yfyc 框数 = 12

总框数：3385

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：