Dataset Groups Activity Stream LoveDA dataset The LoveDA dataset consists of 5,987 high-quality optical remote sensing images with a resolution of 0.3 meters per pixel. BibTex: @dataset{Zhichao_Lu_and_Chuntao_Ding_and_Shangguang_Wang_and_Ran_Cheng_and_Felix_Juefei-Xu_and_Vishnu_Naresh_Boddeti_2024, abstract = {The LoveDA dataset consists of 5,987 high-quality optical remote sensing images with a resolution of 0.3 meters per pixel.}, author = {Zhichao Lu and Chuntao Ding and Shangguang Wang and Ran Cheng and Felix Juefei-Xu and Vishnu Naresh Boddeti}, doi = {10.57702/4skd351s}, institution = {No Organization}, keyword = {'Convolutional neural networks', 'Image segmentation', 'Remote sensing', 'image segmentation', 'remote sensing', 'urban-rural'}, month = {dec}, publisher = {TIB}, title = {LoveDA dataset}, url = {https://service.tib.eu/ldmservice/dataset/loveda-dataset}, year = {2024} }
