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yolo算法-头盔牌照无头盔骑手数据集-1375张图像带标签-头盔牌照无头盔骑手.zip
共2000个文件
xml:1194个
txt:806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,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-头盔牌照无头盔骑手数据集-1375张图像带标签-头盔牌照无头盔骑手.zip (2000个子文件)
img_0187_921.txt 853B
img_0187_1185.txt 629B
img_0187_1187.txt 629B
img_0187_872.txt 615B
img_0187_871.txt 615B
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img_0187_587.txt 524B
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img_0187_663.txt 511B
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img_0187_686.txt 420B
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img_0187_793.txt 377B
img_0187_794.txt 377B
img_0187_864.txt 366B
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img_0187_713.txt 341B
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img_0187_776.txt 332B
img_0187_775.txt 332B
img_0187_1191.txt 331B
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img_0187_29.txt 326B
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img_0187_144.txt 188B
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