LabelImg是深度学习中用来标注图片中物体位置与名称的工具，LabelImg标记数据的xml文档也比较简洁明了。
标记图片：
保存后生成的xml文件：
Python提取文档中的标记信息（坐标信息&文字信息）：

import xml.etree.ElementTree as ET
import sys

xml_path='C:\\Users\\SZK190092\\Desktop\\iPhotoDraw\\blog.xml'       # 文件路径
tree = ET.parse(xml_path)
rect={}
line=""
root = tree.getroot()
with open('blog.txt','w',encoding='utf-8') as f1:
   # 路径信息
   for name in root.iter('path'):
       rect['path'] = name.text
   for ob in root.iter('object'):

       for bndbox in ob.iter('bndbox'):
           # for l in bndbox:
           #     print(l.text)
           # 坐标信息
           for xmin in bndbox.iter('xmin'):
               rect['xmin'] = xmin.text
           for ymin in bndbox.iter('ymin'):
               rect['ymin'] = ymin.text
           for xmax in bndbox.iter('xmax'):
               rect['xmax'] = xmax.text
           for ymax in bndbox.iter('ymax'):
               rect['ymax'] = ymax.text
           print(rect['xmin']+ ' '+rect['ymin']+' '+rect['xmax']+' '+rect['ymax'])    
           line = rect['xmin']+ ' '+rect['ymin']+' '+rect['xmax']+' '+rect['ymax'] + " "
           f1.write(line)
           # 文本信息
           for t in ob.iter('name'):
               print(t.text)
               f1.write(t.text + '\n')

结果：

66 69 496 182
奔跑吧
217 231 326 260
奔跑吧，青春！