“…Various datasets have been proposed that are suitable for monocular depth estimation, i.e. they consist of RGB images with corresponding depth annotation of some form [3], [11], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [40], [44], [45], [46], [47], [48]. Datasets differ in captured environments and objects (indoor/outdoor scenes, dynamic objects), type of depth annotation (sparse/dense, absolute/relative depth), accuracy (laser, time-of-flight, SfM, stereo, human annotation, synthetic data), image quality and camera settings, as well as dataset size.…”