ArTS: Arabic Traffic Sign Dataset

A new dataset for Arabic Traffic Signs is developed for the selected most common 24 Arabic traffic signs. The dataset consists of 2,718 real captured images and 57,078 augmented images for 24 Arabic traffic signs. The images are captured from three connected cities (Khobar, Dammam and Dhahran) in the Eastern Province of Saudi Arabia. The newly developed dataset consisting of 2,718 real images is randomly partitioned into 80% percent training set (2,200 images) and 20% percent testing set (518) images. Augmented dataset of 57,078 images with 10,878 images for testing and 46,200 images for testing. Due to large file size, the Augmented training dataset is uploaded as two compressed files.本研究针对24类最常见的阿拉伯交通标志，开发了一款专用数据集。该数据集包含2718张实拍采集图像，以及针对该24类阿拉伯交通标志生成的57078张数据增强图像。所有实拍图像采集自沙特阿拉伯东部省的三座毗邻城市：胡拜尔（Khobar）、达曼（Dammam）与达兰（Dhahran）。本研究构建的2718张实拍图像数据集被随机划分为训练集与测试集，其中训练集占比80%（共2200张图像），测试集占比20%（共518张图像）。该57078张增强图像数据集被划分为10878张测试集与46200张训练集。由于增强训练集文件体积较大，已将其打包为两个压缩文件上传。