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YOLO 数据集:手写26字母和数字图像检测(38类)【包含划分好的数据集、类别class文件、数据可视化脚本】
共2000个文件
txt:1999个
py:1个
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数据保存按照YOLOV5文件夹保存,可直接用作yolo检测。 标注格式为:classes,x_centre、y_centre、w、h (yolo的相对坐标标注) 类别个数(38):0-9,a-z等等 数据分为分为训练集和验证集: 训练集datasets-images-train:2918张图片和2918个标签txt文件组成 验证集datasets-images-val:653张图片和653个标签txt文件组成 【txt类别文本文件】标签类别txt格式 为了方便查看数据,提供了可视化py文件,随机传入一张图片即可绘制边界框,并且保存在当前目录。脚本无需更改,可以直接运行可视化图像!! yolov5的改进实战:https://blog.csdn.net/qq_44886601/category_12605353.html
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YOLO 数据集:手写26字母和数字图像检测(38类)【包含划分好的数据集、类别class文件、数据可视化脚本】 (2000个子文件)
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