Mars Sample Localization
Introduced by Castilla-Arquillo et al. in Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulations
It contains grayscale mono and stereo images (NavCam and LocCam) from laboratory tests performed by a prototype rover on a martian-like testbed. The dataset can be used for artificial sample-tube detection and pose estimation. It also contains synthetic color images of the sample tube on a martian scenario created with Unreal Engine.
Papers
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