Marmot_data.zip

  • oooooHy
    了解作者
  • Python
    开发工具
  • 65.6MB
    文件大小
  • zip
    文件格式
  • 0
    收藏次数
  • 1 积分
    下载积分
  • 0
    下载次数
  • 2021-03-17 11:52
    上传日期
是TableNet神经网络的训练集,用于pdf文件中的表格信息提取
Marmot_data.zip
  • 10.1.1.160.660_6.xml
    1.7KB
  • 10.1.1.160.659_6.bmp
    3.3MB
  • 10.1.1.178.3008_5.bmp
    3.4MB
  • 10.1.1.160.628_2.bmp
    3.4MB
  • 10.1.1.1.2014_4.xml
    790B
  • 10.1.1.120.1619_13.bmp
    3.3MB
  • 10.1.1.36.5934_16.bmp
    3.3MB
  • 10.1.1.120.1527_4.bmp
    3.2MB
  • 10.1.1.190.1802_6.bmp
    3.3MB
  • 10.1.1.160.581_3.bmp
    2.4MB
  • 10.1.1.160.507_11.xml
    2.8KB
  • 10.1.1.37.368_2.bmp
    3.4MB
  • 10.1.1.160.563_8.xml
    3KB
  • 10.1.1.1.2047_14.bmp
    2.8MB
  • 10.1.1.120.1505_46.xml
    3.7KB
  • 10.1.1.1.2018_4.bmp
    3.3MB
  • 10.1.1.175.3005_18.bmp
    2.9MB
  • 10.1.1.7.2137_3.bmp
    3.4MB
  • 10.1.1.101.295_9.xml
    1.4KB
  • 10.1.1.1.2111_7.xml
    1.9KB
  • 10.1.1.160.624_15.xml
    7.4KB
  • 10.1.1.7.2115_14.bmp
    3.3MB
  • 10.1.1.1.2018_4.xml
    788B
  • 10.1.1.6.2321_32.xml
    1.2KB
  • 10.1.1.190.2749_167.bmp
    3.4MB
  • 10.1.1.160.701_6.xml
    1020B
  • 10.1.1.32.775_4.bmp
    3.3MB
  • 10.1.1.6.2366_6.xml
    1.2KB
  • 10.1.1.1.2071_7.bmp
    3MB
  • 10.1.1.1.2042_6.bmp
    3.3MB
  • 10.1.1.1.2118_5.xml
    1.4KB
  • 10.1.1.1.2072_4.bmp
    3MB
  • 10.1.1.160.575_3.bmp
    3.4MB
  • 10.1.1.101.292_2.xml
    793B
  • 10.1.1.160.710_4.xml
    1.2KB
  • 10.1.1.160.674_27.xml
    795B
  • 10.1.1.120.1525_53.xml
    797B
  • 10.1.1.177.3001_114.xml
    1KB
  • 10.1.1.7.2189_4.xml
    3KB
  • 10.1.1.1.2129_6.bmp
    3.3MB
  • 10.1.1.177.3001_114.bmp
    3.4MB
  • 10.1.1.7.2101_27.xml
    1020B
  • 10.1.1.193.1816_3.xml
    1.4KB
  • 10.1.1.7.2186_33.bmp
    3.3MB
  • 10.1.1.6.2286_3.bmp
    3.3MB
  • 10.1.1.10.1816_3.bmp
    3.3MB
  • 10.1.1.8.2198_13.xml
    794B
  • 10.1.1.20.2150_4.bmp
    3.4MB
  • 10.1.1.1.2055_4.xml
    790B
  • 10.1.1.7.2123_2.bmp
    3.3MB
  • 10.1.1.1.2020_8.bmp
    3.4MB
  • 10.1.1.160.542_27.xml
    3KB
  • 10.1.1.6.2255_5.bmp
    3.3MB
  • 10.1.1.7.2166_8.xml
    1.7KB
  • 10.1.1.8.2123_5.bmp
    3.3MB
  • 10.1.1.6.2355_3.bmp
    3.3MB
  • 10.1.1.101.295_10.xml
    1.7KB
  • 10.1.1.10.2577_6.xml
    3.4KB
  • 10.1.1.160.503_8.xml
    1.2KB
  • 10.1.1.190.2735_45.bmp
    3.3MB
  • 10.1.1.160.509_23.bmp
    3.4MB
  • 10.1.1.6.2299_12.xml
    3.2KB
  • 10.1.1.1.2051_5.bmp
    3MB
  • 10.1.1.1.2067_4.bmp
    3.3MB
  • 10.1.1.32.4629_8.xml
    1.7KB
  • 10.1.1.7.2172_4.bmp
    3.3MB
  • 10.1.1.177.3007_21.bmp
    3.3MB
  • 10.1.1.8.2121_3.bmp
    3.4MB
  • 10.1.1.6.2327_7.xml
    1019B
  • 10.1.1.7.2123_2.xml
    1.9KB
  • 10.1.1.7.2189_4.bmp
    3.3MB
  • 10.1.1.160.611_127.bmp
    3.3MB
  • 10.1.1.1.2048_29.bmp
    3.3MB
  • 10.1.1.185.1562_88.xml
    3.2KB
  • 10.1.1.160.567_4.xml
    1.2KB
  • 10.1.1.1.2014_4.bmp
    3.3MB
  • 10.1.1.10.2226_5.bmp
    3.3MB
  • 10.1.1.100.2013_24.bmp
    3.3MB
  • 10.1.1.8.2160_6.xml
    2.8KB
  • 10.1.1.193.1807_1.bmp
    3.4MB
  • 10.1.1.37.5365_7.xml
    1.2KB
  • 10.1.1.177.3004_6.bmp
    2.3MB
  • 10.1.1.180.553_10.xml
    2.5KB
  • 10.1.1.120.1540_16.bmp
    3.3MB
  • 10.1.1.179.3009_10.bmp
    3.3MB
  • 10.1.1.8.2176_75.bmp
    3.3MB
  • 10.1.1.1.2075_6.xml
    2.3KB
  • 10.1.1.160.509_17.bmp
    3.4MB
  • 10.1.1.20.2130_26.bmp
    3.3MB
  • 10.1.1.160.708_11.bmp
    3.4MB
  • 10.1.1.1.2145_15.bmp
    2.4MB
  • 10.1.1.6.2372_3.bmp
    3.4MB
  • 10.1.1.7.2153_5.xml
    1019B
  • 10.1.1.160.517_4.bmp
    3.3MB
  • 10.1.1.6.2216_5.bmp
    3.3MB
  • 10.1.1.6.2321_19.xml
    794B
  • 10.1.1.120.1504_6.bmp
    3.3MB
  • 10.1.1.160.508_5.xml
    3.9KB
  • 10.1.1.120.1615_4.bmp
    3.3MB
  • 10.1.1.180.564_70.bmp
    3.3MB
内容介绍
<annotation rel='nofollow' onclick='return false;'> <folder>MARMOT_ANNOTATION</folder> <filename>10.1.1.120.1514_6.bmp</filename> <path>/home/monika/Desktop/MARMOT_ANNOTATION/10.1.1.120.1514_6.bmp</path> <source> <database>Unknown</database> </source> <size> <width>816</width> <height>1056</height> <depth>1</depth> </size> <segmented>0</segmented> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>83</xmin> <ymin>197</ymin> <xmax>145</xmax> <ymax>263</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>163</xmin> <ymin>209</ymin> <xmax>184</xmax> <ymax>263</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>206</xmin> <ymin>210</ymin> <xmax>222</xmax> <ymax>259</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>239</xmin> <ymin>208</ymin> <xmax>252</xmax> <ymax>261</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>277</xmin> <ymin>208</ymin> <xmax>295</xmax> <ymax>263</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>318</xmin> <ymin>207</ymin> <xmax>334</xmax> <ymax>259</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>355</xmin> <ymin>207</ymin> <xmax>375</xmax> <ymax>261</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>91</xmin> <ymin>274</ymin> <xmax>144</xmax> <ymax>328</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>160</xmin> <ymin>276</ymin> <xmax>181</xmax> <ymax>326</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>199</xmin> <ymin>278</ymin> <xmax>222</xmax> <ymax>325</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>235</xmin> <ymin>276</ymin> <xmax>258</xmax> <ymax>324</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>275</xmin> <ymin>280</ymin> <xmax>299</xmax> <ymax>326</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>315</xmin> <ymin>276</ymin> <xmax>338</xmax> <ymax>324</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>356</xmin> <ymin>274</ymin> <xmax>380</xmax> <ymax>327</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>455</xmin> <ymin>76</ymin> <xmax>502</xmax> <ymax>138</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>525</xmin> <ymin>83</ymin> <xmax>543</xmax> <ymax>135</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>565</xmin> <ymin>80</ymin> <xmax>580</xmax> <ymax>135</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>600</xmin> <ymin>89</ymin> <xmax>618</xmax> <ymax>134</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>641</xmin> <ymin>85</ymin> <xmax>661</xmax> <ymax>139</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>676</xmin> <ymin>85</ymin> <xmax>698</xmax> <ymax>135</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>715</xmin> <ymin>84</ymin> <xmax>733</xmax> <ymax>136</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>715</xmin> <ymin>151</ymin> <xmax>736</xmax> <ymax>199</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>678</xmin> <ymin>152</ymin> <xmax>698</xmax> <ymax>200</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>640</xmin> <ymin>153</ymin> <xmax>659</xmax> <ymax>202</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>599</xmin> <ymin>152</ymin> <xmax>617</xmax> <ymax>200</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>561</xmin> <ymin>155</ymin> <xmax>582</xmax> <ymax>202</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>523</xmin> <ymin>151</ymin> <xmax>544</xmax> <ymax>202</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>451</xmin> <ymin>149</ymin> <xmax>506</xmax> <ymax>198</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>88</xmin> <ymin>522</ymin> <xmax>145</xmax> <ymax>574</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>163</xmin> <ymin>527</ymin> <xmax>184</xmax> <ymax>580</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>202</xmin> <ymin>526</ymin> <xmax>220</xmax> <ymax>578</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>236</xmin> <ymin>527</ymin> <xmax>258</xmax> <ymax>578</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>276</xmin> <ymin>527</ymin> <xmax>301</xmax> <ymax>580</ymax> </bndbox> </object> <object> <name>column</name> <pose>Unspecified</pose> <truncated>0</truncated> <difficult>0</difficult> <bndbox> <xmin>317</xmin> <ymin>530</ymin> <xmax>338</xmax> <ymax>
评论
    相关推荐
    • matlabcnhelp.rar
      matlab中文帮助很难找的,快速下载
    • MobilePolice.rar
      移动警察,车牌识别,车牌定位系统源代码,已经运用在移动车载稽查系统中。
    • SVM(matlab).rar
      支持向量机(SVM)实现的分类算法源码[matlab]
    • svm.zip
      用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取
    • Classification-MatLab-Toolbox.rar
      模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值
    • VC++人脸定位实例.rar
      一个经典的人脸识别算法实例,提供人脸五官定位具体算法及两种实现流程.
    • QPSK_Simulink.rar
      QPSK的Matlab/Simulink的调制解调仿真系统,给出接收信号眼图及系统仿真误码率,包含载波恢复,匹配滤波,定时恢复等重要模块,帮助理解QPSK的系统
    • LPRBPDemo2009KV.rar
      车牌识别,神经网络算法,识别率高达95%,识别时间低于80ms。
    • MODULATION.RAR
      这个源程序代码包提供了通信系统中BPSK,QPSK,OQPSK,MSK,MSK2,GMSK,QAM,QAM16等调制解调方式 用matlab的实现,以及它们在AWGN和Rayleigh信道下的通信系统实现及误码率性能
    • algorithms.rar
      十大算法论文,包括遗传算法,模拟退火,蒙特卡罗法等等,对于初学者很有帮助!!