JackRabbot Dataset and Benchmark
A novel egocentric dataset collected from social mobile manipulator JackRabbot. The dataset includes 64 minutes of annotated multimodal sensor data including stereo cylindrical 360 degrees RGB video at 15 fps, 3D point clouds from two Velodyne 16 Lidars, line 3D point clouds from two Sick Lidars, audio signal, RGB-D video at 30 fps, 360 degrees spherical image from a fisheye camera and encoder values from the robot's wheels.
Source: JRDB: A Dataset and Benchmark of Egocentric Visual Perception for Navigation in Human Environments
Variants: JRDB
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Multi-Object Tracking | OmniTrack | Omnidirectional Multi-Object Tracking | 2025-03-06 |
Recent papers with results on this dataset: