Rainy Dash Cam Video Dataset

The Rainy Dash Cam Video Dataset is specifically developed for autonomous driving systems to accurately function under rainy conditions, which pose significant visibility and surface traction challenges. Captured with driving recorders at resolutions exceeding 1920 x 1080 pixels and a frame rate of more than 30 fps, this dataset focuses on rainy day scenarios in urban settings, including crossroads, avenues, and paths. It features bounding boxes and tags for over 10 common urban categories such as humans, cars, electric bicycles, vans, and trucks, under the variable and often difficult lighting conditions that accompany rainy weather.

《雨天行车记录仪视频数据集》系专为自动驾驶系统在雨天复杂能见度及路面抓地力挑战下准确运行而精心打造。该数据集采用行车记录仪以超越1920 x 1080像素的分辨率及超过30帧每秒的帧率进行捕捉，聚焦于城市环境中的雨天场景，包括十字路口、大道及小径。数据集包含超过10种常见城市类别（如人类、汽车、电动自行车、货车和卡车）的边界框及标签，并在雨天多变且时常恶劣的照明条件下进行了标注。

搜集汇总

背景与挑战

背景概述

Rainy Dash Cam Video Dataset是一个专为自动驾驶系统设计的视频数据集，包含6.4k个雨天场景的高清行车记录视频（分辨率>1920x1080，帧率>30fps），标注了10+种城市常见物体（如行人、车辆等），用于提升AI模型在恶劣天气下的识别和决策能力。