LUAI Challenge 2021 on Learning to Understand Aerial Images
This challenge aims to draw attention and encourage efforts in understanding aerial images, but it is incremental as it builds on existing datasets and tasks.
The LUAI Challenge 2021 tackled object detection and semantic segmentation in aerial images using DOTA-v2.0 and GID-15 datasets, resulting in 146 registrations across three tasks.
This report summarizes the results of Learning to Understand Aerial Images (LUAI) 2021 challenge held on ICCV 2021, which focuses on object detection and semantic segmentation in aerial images. Using DOTA-v2.0 and GID-15 datasets, this challenge proposes three tasks for oriented object detection, horizontal object detection, and semantic segmentation of common categories in aerial images. This challenge received a total of 146 registrations on the three tasks. Through the challenge, we hope to draw attention from a wide range of communities and call for more efforts on the problems of learning to understand aerial images.