Deep learning maps of fresh crater ejecta on Mercury

Data used in the work "Deep learning map of fresh crater ejecta on Mercury" to create a map of the immature ejecta of fresh impact craters on Mercury using a deep learning method. Contents fresh_craters.zip : the shapefile of the 283 selected fresh craters, containing their outlines, identifying codes (FIDs) and geometry information final_ejecta_masks.zip : the final map. Includes the ejecta raster masks of the individual craters, a raster distinguishing the areas covered by the ejecta of different craters (ml_FID_map_all.tif) and a color composite map (ejecta-map_all.tif). manual_masks.zip : the ejecta masks of the 10 manually-mapped MAN craters (in azimuthal projection centered on the crater) and a raster distingusihing the areas covered by the ejecta of different craters (manual_FID_map.tif). results.zip : the performance metrics of the various model versions. For the final models (conn_results/version_32; ejc_results/version_200), the model weights are also included. Download and unzip this folder in the directory structure illustrated in the code repository. data.zip : the data necessary for replication, including the manual ejecta masks for the tiles used to train the deep learning algorithm. Download and unzip this folder in the directory structure illustrated in the code repository.