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yolo算法-头盔数据集-4540张图像带标签-头盔.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-头盔数据集-4540张图像带标签-头盔.zip (2000个子文件)
img_0945_2832.xml 5KB
img_0945_1555.xml 5KB
img_0945_2562.xml 4KB
img_0945_1037.xml 4KB
img_0945_571.xml 4KB
img_0945_2923.xml 3KB
img_0945_397.xml 3KB
img_0945_903.xml 3KB
img_0945_1023.xml 3KB
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img_0945_1092.xml 3KB
img_0945_581.xml 3KB
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img_0945_2994.xml 3KB
img_0945_141.xml 3KB
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img_0945_274.xml 3KB
img_0945_961.xml 3KB
img_0945_1367.xml 3KB
img_0945_1735.xml 3KB
img_0945_2890.xml 3KB
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img_0945_462.xml 3KB
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