IMFMapper PyTorch Model Checkpoint and Shapefiles of IMFs in Crookes and Schomberger A Craters

This dataset contains the PyTorch model checkpoint file (also called the state_dict) of IMFMapper - a DeepLabV3 semantic segmentation Deep Learning model trained to detect impact melt fractures (IMFs) within Lunar Reconnaissance Orbiter Narrow Angle Camera (LROC NAC) imagery of the Moon. Instructions on how to load a model checkpoint in order to re-train or infer it on your own data can be found here. Two .zip files containing the IMFs detected by IMFMapper within two Lunar impact craters (Crookes and Schomberger A) can also be found. These detections are in ESRI shapefile format (named 'cratername_imfs.shp') ready for viewing in GIS software such as QGIS or ArcGIS. We also provide shapefiles outlining the craters themselves (name 'cratername.shp'), as well as the floors and melt ponds within Crookes crater ('crookes_crater_regions.shp').