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：
