DiversePose 300 is a challenging category-level object pose estimation benchmark introduced in CPPF++: Uncertainty-Aware Sim2Real Object Pose Estimation by Vote Aggregation (TPAMI 2024). It contains real-world RGB-D captures of common objects (bottles, bowls, mugs) in diverse, unconstrained scenes, designed to test the generalization of pose estimators beyond NOCS REAL275.
