DADE dataset

The DADE dataset, short for "Driving Agents in Dynamic Environments", is a synthetic dataset designed for the training and evaluation of methods for the task of semantic segmentation in the context of autonomous driving agents navigating dynamic environments and weather conditions. This dataset was generated using the CARLA simulator (version 0.9.14). The dataset is divided into two sub-datasets: the subset 1, containing 100 video sequences, with static weather conditions (clear day) and the subset 2, containing 300 video sequences, with dynamic weather conditions. The dataset is composed of temporal frames (video sequences) and includes the following information: RGB images, semantic segmentation ground truths, GNSS (Global Navigation Satellite System) position data, weather information.