DOORS (Dataset fOr bOuldeRs Segmentation)
Introduced by Pugliatti et al. in DOORS: Dataset fOr bOuldeRs Segmentation. Statistical properties and Blender setup
DOORS is a dataset designed for boulders recognition, centroid regression, segmentation, and navigation applications. The dataset is divided into two sets:
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Regression: Contains images, masks, and labels for 4 splits of single boulders positioned on the surface of a spherical mesh. It can be used to perform navigation, boulder recognition, segmentation, and centroid regression.
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Segmentation: Contain images, masks, and labels of 2 datasets: DS1 and DS2. DS1 is made of the same images of the Regression dataset but is specifically designed for segmentation. DS2 is made of images with multiple instances of boulders appearing on the surface of the Didymos asteroid model
Papers
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