voc2007和2012目标检测数据集在训练中使用

贝猫说python

722人浏览 · 2022-09-05 11:24:50

贝猫说python · 2022-09-05 11:24:50 发布

目标检测数据集PASCAL VOC详解

训练数据集合(通常合并数据集训练）

coco预训练，
VOC2007 的 train+val+ VOC2012的 train+val 微调训练
VOC2007的test测试（voc2012没有公开test)

Download the data.

cd $HOME/data
wget http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar
wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtrainval_06-Nov-2007.tar
wget http://host.robots.ox.ac.uk/pascal/VOC/voc2007/VOCtest_06-Nov-2007.tar

Extract the data.

tar -xvf VOCtrainval_11-May-2012.tar
tar -xvf VOCtrainval_06-Nov-2007.tar
tar -xvf VOCtest_06-Nov-2007.tar
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标注的vocxm格式

<folder>VOC2007</folder>
<filename>000001.jpg</filename>
<source>
	<database>The VOC2007 Database</database>
	<annotation>PASCAL VOC2007</annotation>
	<image>flickr</image>
	<flickrid>341012865</flickrid>
</source>
<owner>
	<flickrid>Fried Camels</flickrid>
	<name>Jinky the Fruit Bat</name>
</owner>
<size>
	<width>353</width>
	<height>500</height>
	<depth>3</depth>
</size>
<segmented>0</segmented>
<object>
	<name>dog</name>
	<pose>Left</pose>
	<truncated>1</truncated>
	<difficult>0</difficult>
	<bndbox>
		<xmin>48</xmin>
		<ymin>240</ymin>
		<xmax>195</xmax>
		<ymax>371</ymax>
	</bndbox>
</object>
<object>
	<name>person</name>
	<pose>Left</pose>
	<truncated>1</truncated>
	<difficult>0</difficult>
	<bndbox>
		<xmin>8</xmin>
		<ymin>12</ymin>
		<xmax>352</xmax>
		<ymax>498</ymax>
	</bndbox>
</object>