用专业英语翻译下面这段话:本研究使用的是自建数据集它包括两种不同类型的路面的RGB照片。查看路面是否包含建筑垃圾的两个类型。目前该数据集中有6141张照片其中路面干净的图片有3438张路面不干净的为2703张这些图片是通过将摄像头安装在车辆上并使用自然和或人造光拍摄之后得到的图像并进行数据增强采用图像旋转平移裁剪、比例翻转和其他变换所有的图像的尺寸都被缩小到1028926像素。图6描绘了来自自建数
The present study utilized a self-built dataset comprising RGB images of two different types of road surfaces, with the aim of identifying whether the roads contain construction waste. The dataset currently consists of 6141 images, with 3438 images depicting clean roads and 2703 images depicting dirty roads. These images were captured using a camera mounted on a vehicle and were augmented through image rotation, translation, cropping, scaling, and other transformations using natural and/or artificial lighting. All images were resized to 1028 x 926 pixels. Figure 6 illustrates representative images from the two categories of the self-built dataset. The dataset was split into training and validation sets in an 8:2 ratio, and the images were cropped to 224 x 224 pixels and normalized between 0 and 1 before being fed into the network
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