ODIN: An OmniDirectional INdoor Dataset Capturing Activities of Daily Living From Multiple Synchronized Modalities
We present ODIN, a large-scale multi-modal dataset for human behavior understanding using top-view omnidirectional cameras. It features real-life indoor scenarios with synchronized data like RGB, infrared, and depth images, egocentric videos, physiological signals, and 3D scans. Notably, ODIN offers camera-frame 3D human pose estimates for omnidirectional images, a first in the field.