Univesity is an indoor localization dataset proposed in "Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network".
It contains camera images and ground-truth poses, split in 9694 training pairs and 5068 test pairs.
It was created to test localization of multiple scenes in one global coordinate frame, and has a bigger indoor environment compared to 7scenes.
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