Javiera Castillo Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert & Sébastien Lefèvre
We introduce a novel large-scale dataset for semi-supervised semantic segmentation in Earth Observation, the MiniFrance suite. MiniFrance has several unprecedented properties: it is large-scale, containing over 2000 very high resolution aerial images, accounting for more than 200 billions samples (pixels); it is varied, covering 16 conurbations in France, with variousclimates, different landscapes, and urban as well as countryside scenes; and it is challenging, considering land use classes with high-level semantics. Nevertheless, the most distinctive quality...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.