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yolo算法-鸟类探测器数据集-7358张图像带标签-鸟.zip
共2000个文件
xml:2000个
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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; 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-鸟类探测器数据集-7358张图像带标签-鸟.zip (2000个子文件)
img_0928_1035.xml 29KB
img_0928_1190.xml 17KB
img_0928_3849.xml 17KB
img_0928_1844.xml 13KB
img_0928_4625.xml 11KB
img_0928_5006.xml 11KB
img_0928_642.xml 10KB
img_0928_886.xml 10KB
img_0928_4084.xml 10KB
img_0928_3859.xml 9KB
img_0928_3187.xml 8KB
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img_0928_5050.xml 5KB
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img_0928_1065.xml 5KB
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