SemanticSTF

该数据集是在雨、雾、雪等真实恶劣条件下收集的，用于验证在各种不利环境下的性能表现。对于无效数据，在评估过程中会被映射至‘忽略标签’。该数据集包含了多个序列和类别，其任务是进行激光雷达语义分割。

This dataset is collected under real harsh weather conditions including rain, fog and snow, aiming to validate model performance in various adverse environments. Invalid data will be mapped to the 'ignore label' during the evaluation process. This dataset encompasses multiple sequences and categories, and the task is LiDAR semantic segmentation.