Call for Participation
Semantic segmentation has been one of the leading research interests in photogrammetry and computer vision in recent years. The fast development of semantic segmentation attributes enormously to the large scale datasets, especially for the deep learning related methods. We introduce our UAVid dataset, a new high-resolution UAV semantic segmentation dataset, https://uavid.nl.
The task for UAVid Competition is to predict per-pixel semantic labelling for the UAV imagery or the UAV video sequences, and results will be evaluated with meanIoU metric. The evaluation server for testing is on Codalab: