<?xml version='1.0' encoding='utf-8'?>
<annotation>
<filename>img_0858_5331.jpg</filename>
<size>
<width>600</width>
<height>600</height>
<depth>3</depth>
</size>
<object>
<name>Tarabaim</name>
<difficult>0</difficult>
<bndbox>
<xmin>280</xmin>
<ymin>129</ymin>
<xmax>448</xmax>
<ymax>371</ymax>
</bndbox>
</object>
<object>
<name>Tarabaim</name>
<difficult>0</difficult>
<bndbox>
<xmin>238</xmin>
<ymin>526</ymin>
<xmax>422</xmax>
<ymax>582</ymax>
</bndbox>
</object>
</annotation>
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yolo算法-鱼类检测数据数据集-8843张图像带标签-data-tvlbr.zip
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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,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; 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-鱼类检测数据数据集-8843张图像带标签-data-tvlbr.zip (2000个子文件)
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