DAWN

DAWN (Detection in Adverse Weather Nature) dataset consists of real-world images collected under various adverse weather conditions. This dataset emphasizes a diverse traffic environment (urban, highway and freeway) as well as a rich variety of traffic flow. The DAWN dataset comprises a collection of 1000 images from real-traffic environments, which are divided into four sets of weather conditions: fog, snow, rain and sandstorms. The dataset is annotated with object bounding boxes for autonomous driving and video surveillance scenarios. This data helps interpreting effects caused by the adverse weather conditions on the performance of vehicle detection systems. Also, it is required by researchers work in autonomous vehicles and intelligent visual traffic surveillance systems fields. All the rights of the DAWN dataset are reserved and commercial use/distribution of this database is strictly prohibited.DAWN（Detection in Adverse Weather Nature）数据集由多种恶劣天气条件下采集的真实场景图像构成。该数据集覆盖多元交通环境，涵盖城市道路、高速公路及快速路场景，并包含丰富的交通流形态。本数据集共收录1000张真实交通环境下的图像，按天气条件划分为雾、雪、雨、沙尘暴四个类别。数据集针对自动驾驶与视频监控场景标注了目标边界框，可用于解析恶劣天气对车辆检测系统性能造成的影响，同时可为自动驾驶及智能视觉交通监控系统领域的研究工作提供数据支撑。DAWN数据集保留全部著作权，严格禁止该数据库的商业使用与分发行为。