<?xml version='1.0' encoding='utf-8'?>
<annotation>
<filename>img_050_2093.jpg</filename>
<size>
<width>640</width>
<height>640</height>
<depth>3</depth>
</size>
<object>
<name>person</name>
<difficult>0</difficult>
<bndbox>
<xmin>461</xmin>
<ymin>13</ymin>
<xmax>583</xmax>
<ymax>417</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<difficult>0</difficult>
<bndbox>
<xmin>276</xmin>
<ymin>68</ymin>
<xmax>378</xmax>
<ymax>417</ymax>
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</object>
<object>
<name>person</name>
<difficult>0</difficult>
<bndbox>
<xmin>137</xmin>
<ymin>154</ymin>
<xmax>225</xmax>
<ymax>435</ymax>
</bndbox>
</object>
<object>
<name>person</name>
<difficult>0</difficult>
<bndbox>
<xmin>80</xmin>
<ymin>181</ymin>
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<ymax>449</ymax>
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</object>
<object>
<name>horse</name>
<difficult>0</difficult>
<bndbox>
<xmin>393</xmin>
<ymin>136</ymin>
<xmax>578</xmax>
<ymax>626</ymax>
</bndbox>
</object>
<object>
<name>horse</name>
<difficult>0</difficult>
<bndbox>
<xmin>256</xmin>
<ymin>186</ymin>
<xmax>385</xmax>
<ymax>594</ymax>
</bndbox>
</object>
<object>
<name>horse</name>
<difficult>0</difficult>
<bndbox>
<xmin>71</xmin>
<ymin>249</ymin>
<xmax>159</xmax>
<ymax>549</ymax>
</bndbox>
</object>
<object>
<name>horse</name>
<difficult>0</difficult>
<bndbox>
<xmin>132</xmin>
<ymin>272</ymin>
<xmax>225</xmax>
<ymax>558</ymax>
</bndbox>
</object>
</annotation>
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yolo算法-动物数据集-2400张图像带标签-奶牛-鸡-狗-山羊-猫-人-臭鼬-马-浣熊-狐狸.zip
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2024-12-08
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yolo系列算法目标检测数据集,包含标签,可以直接训练模型和验证测试,数据集已经划分好,包含数据集配置文件data.yaml,适用yolov5,yolov8,yolov9,yolov7,yolov10,yolo11算法; 包含两种标签格:yolo格式(txt文件)和voc格式(xml文件),分别保存在两个文件夹中,文件名末尾是部分类别名称; yolo格式:<class> <x_center> <y_center> <width> <height>, 其中: <class> 是目标的类别索引(从0开始)。 <x_center> 和 <y_center> 是目标框中心点的x和y坐标,这些坐标是相对于图像宽度和高度的比例值,范围在0到1之间。 <width> 和 <height> 是目标框的宽度和高度,也是相对于图像宽度和高度的比例值;
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yolo算法-动物数据集-2400张图像带标签-奶牛-鸡-狗-山羊-猫-人-臭鼬-马-浣熊-狐狸.zip (2000个子文件)
img_050_2093.xml 2KB
img_050_2091.xml 2KB
img_050_2092.xml 2KB
img_050_2033.xml 2KB
img_050_2031.xml 2KB
img_050_2032.xml 2KB
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