UAVid is a high-resolution UAV semantic segmentation dataset with remarkable features in large-scale variation, moving target recognition and temporal consistency preservation. The dataset consists of 30 video sequences, capturing 4K high-resolution images with oblique perspectives, and 300 images densely annotated with 8 classes for semantic labeling tasks.