TUM RGB-D Dataset

The TUM RGB-D Dataset is a collection of synchronized color images and depth measurements captured using a camera that records both visual and distance information. It’s used by researchers to develop and test computer vision algorithms, particularly for tasks like simultaneous localization and mapping (SLAM), where a machine builds a map of an environment while determining its position within it. The dataset includes sequences of indoor scenes with accurate ground truth data, allowing for precise evaluation of how well robots or systems can understand and navigate complex environments based on visual and depth cues.