<annotation>
<folder>JPEGImages</folder>
<filename>set00_set00-occ_88.jpg</filename>
<path>D:\Person_detector\project\Yolov5\yolov5-5.0\yolov5-5.0\VOCdevkit\VOC2007\JPEGImages\set00_set00-occ_88.jpg</path>
<source>
<database>Unknown</database>
</source>
<size>
<width>640</width>
<height>480</height>
<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>190</xmin>
<ymin>94</ymin>
<xmax>334</xmax>
<ymax>477</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>220</xmin>
<ymin>150</ymin>
<xmax>257</xmax>
<ymax>252</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>260</xmin>
<ymin>147</ymin>
<xmax>303</xmax>
<ymax>250</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>353</xmin>
<ymin>133</ymin>
<xmax>396</xmax>
<ymax>259</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>68</xmin>
<ymin>182</ymin>
<xmax>88</xmax>
<ymax>232</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>190</xmin>
<ymin>153</ymin>
<xmax>228</xmax>
<ymax>251</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>247</xmin>
<ymin>150</ymin>
<xmax>290</xmax>
<ymax>261</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>207</xmin>
<ymin>141</ymin>
<xmax>248</xmax>
<ymax>260</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>165</xmin>
<ymin>172</ymin>
<xmax>185</xmax>
<ymax>241</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>141</xmin>
<ymin>134</ymin>
<xmax>241</xmax>
<ymax>343</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>139</xmin>
<ymin>130</ymin>
<xmax>187</xmax>
<ymax>332</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>383</xmin>
<ymin>138</ymin>
<xmax>415</xmax>
<ymax>251</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>417</xmin>
<ymin>143</ymin>
<xmax>460</xmax>
<ymax>252</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>152</xmin>
<ymin>119</ymin>
<xmax>276</xmax>
<ymax>381</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>226</xmin>
<ymin>105</ymin>
<xmax>298</xmax>
<ymax>366</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>560</xmin>
<ymin>150</ymin>
<xmax>592</xmax>
<ymax>239</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>481</xmin>
<ymin>127</ymin>
<xmax>521</xmax>
<ymax>263</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>514</xmin>
<ymin>133</ymin>
<xmax>552</xmax>
<ymax>261</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>48</xmin>
<ymin>186</ymin>
<xmax>74</xmax>
<ymax>241</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>6</xmin>
<ymin>176</ymin>
<xmax>31</xmax>
<ymax>235</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>322</xmin>
<ymin>163</ymin>
<xmax>348</xmax>
<ymax>232</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>585</xmin>
<ymin>149</ymin>
<xmax>613</xmax>
<ymax>238</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<pose>Unspecified</pose>
<truncated>0</truncated>
<difficult>0</difficult>
<bndbox>
<xmin>609</xmin>
<ymin>148</ymin>
<xmax>636</xmax>
<ymax>241</ymax>
</bndbox>
</object>
</annotation>
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CUHK Occlusion Dataset数据集,用于行人检测,做好了yolo格式数据集的训练和划分,同时上传了yolo和voc两个格式的标签集。 包括:1.VOC格式(.xml文件)的数据集 2.yolo格式(.txt文件)的数据集 3.划分好的yolo格式的训练集和数据集 文件结构: images——train(训练集的jpg图片) ——val(测试集的jpg图片) labels——train(训练集的标签) ——val(测试集的标签) VOC2007——JPEGImages(数据集原本的1063张jpg图片) ——Annotations(数据集中图片对应的.xml标签文件——VOC格式) ——YOLOLabels(数据集中图片对应的.txt标签文件——yolo格式)
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