Syphax Traffic Panels (STP) Dataset

STP dataset is a dataset for Arabic text detection on traffic panels in the wild. It was collected from Tunisia in “Sfax” city, the second largest Tunisian city after the capital. A total of 506 images were gathered through manual collection one by one, with each image energizing Arabic text detection challenges in natural scene images according to real existing complexity of 15 different routes in addition to ring roads, roundabouts, intersections, airport and highways. These annotated images consist of more than 1351 objects, each of which is enclosed within a bounding box. The estimated overall distance covered is around 470 kilometers; all the paths mentioned and traveled contain different type of traffic panels (Fixed panel, wall panel, km-point, electronic panel, Add-Panels, Removable panel and Mixed Panel text & sign).It's worth noting that one of the notable contributions and challenges of the STP dataset is the inclusion of natural text scripts in the Arabic language, encompassing most of the existing challenges seen in state-of-the-art datasets.

STP数据集是一款面向野外交通标牌阿拉伯文本检测的专用数据集。该数据集采集自突尼斯第二大城市（仅次于首都）斯法克斯（Sfax）市。研究人员通过手动逐张采集的方式，共获取506张图像，每张图像均对应真实复杂的自然场景阿拉伯文本检测挑战，覆盖15条常规线路以及环路、环岛、交叉口、机场与高速公路场景。本次采集的带标注图像共包含超过1351个目标对象，每个目标均由边界框（bounding box）进行框定。本次数据采集覆盖的总里程约为470公里，所途经的所有路径包含多种类型的交通标牌：固定式标牌、墙面标牌、里程桩标牌、电子标牌、附加标牌、可移动标牌以及图文混合标牌。值得注意的是，STP数据集的一项显著贡献与核心挑战在于其收录了阿拉伯语自然文本脚本，涵盖了当前顶尖数据集所存在的绝大多数文本检测挑战。