UAVid-depth Dataset

The data is arranged in the folders based on the captured video files. *Reference Depth The reference depth for some of the test images (three sequences) are generated from the photogrammetric point clouds and are uploaded along with the corresponding test sequence. *SMDE Model Depth The depth for some of the test images (three sequences) are generated from SMDE model (Madhuanand et al. 2021) and are uploaded along with the corresponding test sequence. *Copyright UAVid-depth dataset is copyright by us and published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.

This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license. *

Citation

When using this UAVid-depth dataset in your research, please cite: @article{uaviddepth21, Author = {Logambal Madhuanand and Francesco Nex and Michael Ying Yang}, Title = {Self-supervised monocular depth estimation from oblique UAV videos}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, year = {2021}, volume = {176}, pages = {1-14}, } When using the UAVid dataset in your research, please cite: @article{uavid20, Author = {Ye Lyu and George Vosselman and Guisong Xia and Alper Yilmaz and Michael Ying Yang}, Title = {UAVid: A Semantic Segmentation Dataset for UAV Imagery}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, year = {2020}, } *Contact michael.yang@utwente.nl Date Submitted: 2021-05-28